Isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics

ABSTRACT

Provided are isolated polypeptides which are at least 80% homologous to SEQ ID NO: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, isolated polynucleotides which are at least 80% identical to SEQ ID NOs: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 or 4804, nucleic acid constructs comprising same, transgenic cells expressing same, transgenic plants expressing same and method of using same for increasing yield, harvest index, abiotic stress tolerance, growth rate, biomass, vigor, oil content, photosynthetic capacity, seed yield, fiber yield, fiber quality, fiber length, and/or nitrogen use efficiency of a plant.

FIELD AND BACKGROUND OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polypeptides and polynucleotides, nucleic acid constructs comprising same, transgenic cells comprising same, transgenic plants transformed with said nucleic acid constructs and transgenic plants exogenously expressing same and more particularly, but not exclusively, to methods of using same for increasing yield (e.g., seed yield, oil yield, harvest index), biomass, photosynthetic capacity (e.g., leaf area), growth rate, vigor, oil content, fiber yield, fiber quality, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant.

Yield is affected by various factors, such as, the number and size of the plant organs, plant architecture (for example, the number of branches), grains set length, number of filled grains, vigor (e.g. seedling), growth rate, root development, utilization of water, nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.

Crops such as, corn, rice, wheat, canola and soybean account for over half of total human caloric intake, whether through direct consumption of the seeds themselves or through consumption of meat products raised on processed seeds or forage. Seeds are also a source of sugars, proteins and oils and metabolites used in industrial processes. The ability to increase plant yield, whether through increase dry matter accumulation rate, modifying cellulose or lignin composition, increase stalk strength, enlarge meristem size, change of plant branching pattern, erectness of leaves, increase in fertilization efficiency, enhanced seed dry matter accumulation rate, modification of seed development, enhanced seed filling or by increasing the content of oil, starch or protein in the seeds would have many applications in agricultural and non-agricultural uses such as in the biotechnological production of pharmaceuticals, antibodies or vaccines.

Vegetable or seed oils are the major source of energy and nutrition in human and animal diet. They are also used for the production of industrial products, such as paints, inks and lubricants. In addition, plant oils represent renewable sources of long-chain hydrocarbons, which can be used as fuel. Since the currently used fossil fuels are finite resources and are gradually being depleted, fast growing biomass crops may be used as alternative fuels or for energy feedstock and may reduce the dependence on fossil energy supplies. However, the major bottleneck for increasing consumption of plant oils as bio-fuel is the oil price, which is still higher than fossil fuel. In addition, the production rate of plant oil is limited by the availability of agricultural land and water. Thus, increasing plant oil yields from the same growing area can effectively overcome the shortage in production space and can decrease vegetable oil prices at the same time.

Studies aiming at increasing plant oil yields focus on the identification of genes involved in oil metabolism as well as in genes capable of increasing plant and seed yields in transgenic plants. Genes known to be involved in increasing plant oil yields include those participating in fatty acid synthesis or sequestering such as desaturase [e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis Information Resource (TAIR; arabidopsis(dot)org/), TAIR No. AT2G43710)], OleosinA (TAIR No. AT3G01570) or FAD3 (TAR No. AT2G29980), and various transcription factors and activators such as Lec1 [TAIR No. AT1G21970, Lotan et al. 1998. Cell. 26; 93(7):1195-205], Lec2 [TAIR No. AT1G28300, Santos Mendoza et al. 2005, FEBS Lett. 579(21):4666-70], Fus3 (TAIR No. AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem. 278(23): 21003-11] and Writ [TAIR No. AT3G54320, Cernac and Benning, 2004. Plant J. 40(4): 575-85].

Genetic engineering efforts aiming at increasing oil content in plants (e.g., in seeds) include upregulating endoplasmic reticulum (FAD3) and plastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., et al., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 and GmDof11 transcription factors (Wang H W et al., 2007; Plant J. 52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenase under the control of a seed-specific promoter (Vigeolas H, et al. 2007, Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); using Arabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acid and oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans. 28:935-7).

Various patent applications disclose genes and proteins, which can increase oil content in plants. These include for example, U.S. Pat. Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No. 20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373 [triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl. Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclose transgenic plants with improved nitrogen use efficiency which can be used for the conversion into fuel or chemical feedstocks); WO2008/122980 (polynucleotides for increasing oil content, growth rate, biomass, yield and/or vigor of a plant).

A common approach to promote plant growth has been, and continues to be, the use of natural as well as synthetic nutrients (fertilizers). Thus, fertilizers are the fuel behind the “green revolution”, directly responsible for the exceptional increase in crop yields during the last 40 years, and are considered the number one overhead expense in agriculture. For example, inorganic nitrogenous fertilizers such as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops such as corn and wheat. Of the three macronutrients provided as main fertilizers [Nitrogen (N), Phosphate (P) and Potassium (K)], nitrogen is often the rate-limiting element in plant growth and all field crops have a fundamental dependence on inorganic nitrogenous fertilizer. Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc. and usually needs to be replenished every year, particularly for cereals, which comprise more than half of the cultivated areas worldwide. Thus, nitrogen is translocated to the shoot, where it is stored in the leaves and stalk during the rapid step of plant development and up until flowering. In corn for example, plants accumulate the bulk of their organic nitrogen during the period of grain germination, and until flowering. Once fertilization of the plant has occurred, grains begin to form and become the main sink of plant nitrogen. The stored nitrogen can be then redistributed from the leaves and stalk that served as storage compartments until grain formation.

Since fertilizer is rapidly depleted from most soil types, it must be supplied to growing crops two or three times during the growing season. In addition, the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%) negatively affects the input expenses for the farmer, due to the excess fertilizer applied. Moreover, the over and inefficient use of fertilizers are major factors responsible for environmental problems such as eutrophication of groundwater, lakes, rivers and seas, nitrate pollution in drinking water which can cause methemoglobinemia, phosphate pollution, atmospheric pollution and the like. However, in spite of the negative impact of fertilizers on the environment, and the limits on fertilizer use, which have been legislated in several countries, the use of fertilizers is expected to increase in order to support food and fiber production for rapid population growth on limited land resources. For example, it has been estimated that by 2050, more than 150 million tons of nitrogenous fertilizer will be used worldwide annually.

Increased use efficiency of nitrogen by plants should enable crops to be cultivated with lower fertilizer input, or alternatively to be cultivated on soils of poorer quality and would therefore have significant economic impact in both developed and developing agricultural systems.

Genetic improvement of fertilizer use efficiency (FUE) in plants can be generated either via traditional breeding or via genetic engineering.

Attempts to generate plants with increased FUE have been described in U.S. Pat. Appl. No. 20020046419 to Choo, et al.; U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S. Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007 (Engineering nitrogen use efficiency with alanine aminotransferase. Canadian Journal of Botany 85: 252-262); and Good A G et al. 2004 (Trends Plant Sci. 9:597-605).

Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S. Pat. No. 2,004,101:7833-8) describe Dof1 transgenic plants, which exhibit improved growth under low-nitrogen conditions.

U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stress responsive promoter to control the expression of Alanine Amine Transferase (AlaAT) and transgenic canola plants with improved drought and nitrogen deficiency tolerance when compared to control plants.

Abiotic stress (ABS; also referred to as “environmental stress”) conditions such as salinity, drought, flood, suboptimal temperature and toxic chemical pollution, cause substantial damage to agricultural plants. Most plants have evolved strategies to protect themselves against these conditions. However, if the severity and duration of the stress conditions are too great, the effects on plant development, growth and yield of most crop plants are profound. Furthermore, most of the crop plants are highly susceptible to abiotic stress and thus necessitate optimal growth conditions for commercial crop yields. Continuous exposure to stress causes major alterations in the plant metabolism, which ultimately leads to cell death and consequently yield losses.

Drought is a gradual phenomenon, which involves periods of abnormally dry weather that persists long enough to produce serious hydrologic imbalances such as crop damage, water supply shortage and increased susceptibility to various diseases. In severe cases, drought can last many years and results in devastating effects on agriculture and water supplies. Furthermore, drought is associated with increase susceptibility to various diseases.

For most crop plants, the land regions of the world are too arid. In addition, overuse of available water results in increased loss of agriculturally usable land (desertification), and increase of salt accumulation in soils adds to the loss of available water in soils.

Salinity, high salt levels, affects one in five hectares of irrigated land. None of the top five food crops, i.e., wheat, corn, rice, potatoes, and soybean, can tolerate excessive salt. Detrimental effects of salt on plants result from both water deficit, which leads to osmotic stress (similar to drought stress), and the effect of excess sodium ions on critical biochemical processes. As with freezing and drought, high salt causes water deficit; and the presence of high salt makes it difficult for plant roots to extract water from their environment. Soil salinity is thus one of the more important variables that determine whether a plant may thrive. In many parts of the world, sizable land areas are uncultivable due to naturally high soil salinity. Thus, salination of soils that are used for agricultural production is a significant and increasing problem in regions that rely heavily on agriculture, and is worsen by over-utilization, over-fertilization and water shortage, typically caused by climatic change and the demands of increasing population. Salt tolerance is of particular importance early in a plant's lifecycle, since evaporation from the soil surface causes upward water movement, and salt accumulates in the upper soil layer where the seeds are placed. On the other hand, germination normally takes place at a salt concentration, which is higher than the mean salt level in the whole soil profile.

Salt and drought stress signal transduction consist of ionic and osmotic homeostasis signaling pathways. The ionic aspect of salt stress is signaled via the SOS pathway where a calcium-responsive SOS3-SOS2 protein kinase complex controls the expression and activity of ion transporters such as SOS1. The osmotic component of salt stress involves complex plant reactions that overlap with drought and/or cold stress responses.

Suboptimal temperatures affect plant growth and development through the whole plant life cycle. Thus, low temperatures reduce germination rate and high temperatures result in leaf necrosis. In addition, mature plants that are exposed to excess of heat may experience heat shock, which may arise in various organs, including leaves and particularly fruit, when transpiration is insufficient to overcome heat stress. Heat also damages cellular structures, including organelles and cytoskeleton, and impairs membrane function. Heat shock may produce a decrease in overall protein synthesis, accompanied by expression of heat shock proteins, e.g., chaperones, which are involved in refolding proteins denatured by heat. High-temperature damage to pollen almost always occurs in conjunction with drought stress, and rarely occurs under well-watered conditions. Combined stress can alter plant metabolism in novel ways. Excessive chilling conditions, e.g., low, but above freezing, temperatures affect crops of tropical origins, such as soybean, rice, maize, and cotton. Typical chilling damage includes wilting, necrosis, chlorosis or leakage of ions from cell membranes. The underlying mechanisms of chilling sensitivity are not completely understood yet, but probably involve the level of membrane saturation and other physiological deficiencies. Excessive light conditions, which occur under clear atmospheric conditions subsequent to cold late summer/autumn nights, can lead to photoinhibition of photosynthesis (disruption of photosynthesis). In addition, chilling may lead to yield losses and lower product quality through the delayed ripening of maize.

Common aspects of drought, cold and salt stress response [Reviewed in Xiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a) transient changes in the cytoplasmic calcium levels early in the signaling event; (b) signal transduction via mitogen-activated and/or calcium dependent protein kinases (CDPKs) and protein phosphatases; (c) increases in abscisic acid levels in response to stress triggering a subset of responses; (d) inositol phosphates as signal molecules (at least for a subset of the stress responsive transcriptional changes; (e) activation of phospholipases which in turn generates a diverse array of second messenger molecules, some of which might regulate the activity of stress responsive kinases; (f) induction of late embryogenesis abundant (LEA) type genes including the CRT/DRE responsive COR/RD genes; (g) increased levels of antioxidants and compatible osmolytes such as proline and soluble sugars; and (h) accumulation of reactive oxygen species such as superoxide, hydrogen peroxide, and hydroxyl radicals. Abscisic acid biosynthesis is regulated by osmotic stress at multiple steps. Both ABA-dependent and -independent osmotic stress signaling first modify constitutively expressed transcription factors, leading to the expression of early response transcriptional activators, which then activate downstream stress tolerance effector genes.

Several genes which increase tolerance to cold or salt stress can also improve drought stress protection, these include for example, the transcription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J. 23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola et al. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).

Studies have shown that plant adaptations to adverse environmental conditions are complex genetic traits with polygenic nature. Conventional means for crop and horticultural improvements utilize selective breeding techniques to identify plants having desirable characteristics. However, selective breeding is tedious, time consuming and has an unpredictable outcome. Furthermore, limited germplasm resources for yield improvement and incompatibility in crosses between distantly related plant species represent significant problems encountered in conventional breeding. Advances in genetic engineering have allowed mankind to modify the germplasm of plants by expression of genes-of-interest in plants. Such a technology has the capacity to generate crops or plants with improved economic, agronomic or horticultural traits.

Genetic engineering efforts, aimed at conferring abiotic stress tolerance to transgenic crops, have been described in various publications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150, 2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmström et al. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257, 1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) and Tarczynski et al. (Science 259: 508-510, 1993)].

Various patents and patent applications disclose genes and proteins, which can be used for increasing tolerance of plants to abiotic stresses. These include for example, U.S. Pat. Nos. 5,296,462 and 5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No. 6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasing ABST); U.S. application Ser. Nos. 09/938,842 and 10/342,224 (for increasing ABST); U.S. application Ser. No. 10/231,035 (for increasing ABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638 (for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (for increasing ABST, biomass, vigor and/or yield); WO2010/076756 (for increasing ABST, biomass and/or yield); WO2009/083958 (for increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogen use efficiency, abiotic stress tolerance, yield and/or biomass); WO2009/141824 (for increasing plant utility); WO2010/049897 (for increasing plant yield).

Nutrient deficiencies cause adaptations of the root architecture, particularly notably for example is the root proliferation within nutrient rich patches to increase nutrient uptake. Nutrient deficiencies cause also the activation of plant metabolic pathways, which maximize the absorption, assimilation and distribution processes such as by activating architectural changes. Engineering the expression of the triggered genes may cause the plant to exhibit the architectural changes and enhanced metabolism also under other conditions.

In addition, it is widely known that the plants usually respond to water deficiency by creating a deeper root system that allows access to moisture located in deeper soil layers. Triggering this effect will allow the plants to access nutrients and water located in deeper soil horizons particularly those readily dissolved in water like nitrates.

Cotton and cotton by-products provide raw materials that are used to produce a wealth of consumer-based products in addition to textiles including cotton foodstuffs, livestock feed, fertilizer and paper. The production, marketing, consumption and trade of cotton-based products generate an excess of $100 billion annually in the U.S. alone, making cotton the number one value-added crop.

Even though 90% of cotton's value as a crop resides in the fiber (lint), yield and fiber quality has declined due to general erosion in genetic diversity of cotton varieties, and an increased vulnerability of the crop to environmental conditions.

There are many varieties of cotton plant, from which cotton fibers with a range of characteristics can be obtained and used for various applications. Cotton fibers may be characterized according to a variety of properties, some of which are considered highly desirable within the textile industry for the production of increasingly high quality products and optimal exploitation of modem spinning technologies. Commercially desirable properties include length, length uniformity, fineness, maturity ratio, decreased fuzz fiber production, micronaire, bundle strength, and single fiber strength. Much effort has been put into the improvement of the characteristics of cotton fibers mainly focusing on fiber length and fiber fineness. In particular, there is a great demand for cotton fibers of specific lengths.

A cotton fiber is composed of a single cell that has differentiated from an epidermal cell of the seed coat, developing through four stages, i.e., initiation, elongation, secondary cell wall thickening and maturation stages. More specifically, the elongation of a cotton fiber commences in the epidermal cell of the ovule immediately following flowering, after which the cotton fiber rapidly elongates for approximately 21 days. Fiber elongation is then terminated, and a secondary cell wall is formed and grown through maturation to become a mature cotton fiber.

Several candidate genes which are associated with the elongation, formation, quality and yield of cotton fibers were disclosed in various patent applications such as U.S. Pat. No. 5,880,100 and U.S. patent application Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describing genes involved in cotton fiber elongation stage); WO0245485 (improving fiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588 and WO0117333 (increasing fiber quality by transformation with a DNA encoding sucrose phosphate synthase); WO9508914 (using a fiber-specific promoter and a coding sequence encoding cotton peroxidase); WO9626639 (using an ovary specific promoter sequence to express plant growth modifying hormones in cotton ovule tissue, for altering fiber quality characteristics such as fiber dimension and strength); U.S. Pat. No. 5,981,834, U.S. Pat. No. 5,597,718, U.S. Pat. No. 5,620,882, U.S. Pat. No. 5,521,708 and U.S. Pat. No. 5,495,070 (coding sequences to alter the fiber characteristics of transgenic fiber producing plants); U.S. patent applications U.S. 2002049999 and U.S. 2003074697 (expressing a gene coding for endoxyloglucan transferase, catalase or peroxidase for improving cotton fiber characteristics); WO 01/40250 (improving cotton fiber quality by modulating transcription factor gene expression); WO 96/40924 (a cotton fiber transcriptional initiation regulatory region associated which is expressed in cotton fiber); EP0834566 (a gene which controls the fiber formation mechanism in cotton plant); WO2005/121364 (improving cotton fiber quality by modulating gene expression); WO2008/075364 (improving fiber quality, yield/biomass/vigor and/or abiotic stress tolerance of plants).

WO publication No. 2004/104162 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2004/111183 discloses nucleotide sequences for regulating gene expression in plant trichomes and constructs and methods utilizing same.

WO publication No. 2004/081173 discloses novel plant derived regulatory sequences and constructs and methods of using such sequences for directing expression of exogenous polynucleotide sequences in plants.

WO publication No. 2005/121364 discloses polynucleotides and polypeptides involved in plant fiber development and methods of using same for improving fiber quality, yield and/or biomass of a fiber producing plant.

WO publication No. 2007/049275 discloses isolated polypeptides, polynucleotides encoding same, transgenic plants expressing same and methods of using same for increasing fertilizer use efficiency, plant abiotic stress tolerance and biomass.

WO publication No. 2007/020638 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.

WO publication No. 2008/122980 discloses genes constructs and methods for increasing oil content, growth rate and biomass of plants.

WO publication No. 2008/075364 discloses polynucleotides involved in plant fiber development and methods of using same.

WO publication No. 2009/083958 discloses methods of increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and biomass in plant and plants generated thereby.

WO publication No. 2009/141824 discloses isolated polynucleotides and methods using same for increasing plant utility.

WO publication No. 2009/013750 discloses genes, constructs and methods of increasing abiotic stress tolerance, biomass and/or yield in plants generated thereby.

WO publication No. 2010/020941 discloses methods of increasing nitrogen use efficiency, abiotic stress tolerance, yield and biomass in plants and plants generated thereby.

WO publication No. 2010/076756 discloses isolated polynucleotides for increasing abiotic stress tolerance, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, and/or nitrogen use efficiency of a plant.

WO2010/100595 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO publication No. 2010/049897 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2010/143138 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency

WO publication No. 2011/080674 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2011/015985 publication discloses polynucleotides and polypeptides for increasing desirable plant qualities.

WO2011/135527 publication discloses isolated polynucleotides and polypeptides for increasing plant yield and/or agricultural characteristics.

WO2012/028993 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2012/085862 publication discloses isolated polynucleotides and polypeptides, and methods of using same for improving plant properties.

WO2012/150598 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO2013/027223 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2013/080203 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.

WO2013/098819 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing yield of plants.

WO2013/128448 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.

WO 2013/179211 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.

WO2014/033714 publication discloses isolated polynucleotides, polypeptides and methods of using same for increasing abiotic stress tolerance, biomass and yield of plants.

SUMMARY OF THE INVENTION

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous (e.g., identical) to SEQ ID NO: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, thereby increasing the yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164, thereby increasing the yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased yield, increased harvest index, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased yield, increased harvest index, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 or 4804, thereby increasing the yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-473, 761-4804 and 4805, thereby increasing the yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide which comprises a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased yield, increase harvest index, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased yield, increase harvest index, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% homologous to the amino acid sequence set forth in SEQ ID NO:474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, wherein the amino acid sequence is capable of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NOs: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804, wherein the nucleic acid sequence is capable of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-473, 761-4804 and 4805.

According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising an amino acid sequence at least 80% homologous to SEQ ID NO: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, wherein the amino acid sequence is capable of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.

According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention.

According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, the nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs:474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164,

(b) selecting from the plants of step (a) a plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions,

thereby selecting the plant having the increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804,

(b) selecting from the plants of step (a) a plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions,

thereby selecting the plant having the increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention, the nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 1-473, 761-4804 and 4805.

According to some embodiments of the invention, the polynucleotide consists of the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-473, 761-4804 and 4805.

According to some embodiments of the invention, the nucleic acid sequence encodes the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to some embodiments of the invention, the plant cell forms part of a plant.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the yield comprises seed yield or oil yield.

According to an aspect of some embodiments of the present invention there is provided a transgenic plant comprising the nucleic acid construct of some embodiments of the invention or the plant cell of some embodiments of the invention.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under nitrogen-limiting conditions.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

According to an aspect of some embodiments of the present invention there is provided a method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the isolated polynucleotide of some embodiments of the invention, or with the nucleic acid construct of some embodiments of the invention, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield, increased harvest index, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and increased oil content as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of identical genetic background.

According to some embodiments of the invention, the non-transformed plant is a wild type plant of the same species.

According to some embodiments of the invention, the non-transformed plant is grown under identical growth conditions.

According to some embodiments of the invention, the method further comprising selecting a plant having an increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to some embodiments of the invention, selecting is performed under non-stress conditions.

According to some embodiments of the invention, selecting is performed under abiotic stress conditions.

According to some embodiments of the invention, selecting is performed under nitrogen limiting conditions.

Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.

BRIEF DESCRIPTION OF THE DRAWINGS

Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.

In the drawings:

FIG. 1 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 8190) and the GUSintron (pQYN 6669) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); GUSintron—the GUS reporter gene (coding sequence and intron). The isolated polynucleotide sequences of the invention were cloned into the vector while replacing the GUSintron reporter gene.

FIG. 2 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 8190) (pQFN or pQFNc) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.

FIGS. 3A-F are images depicting visualization of root development of transgenic plants exogenously expressing the polynucleotide of some embodiments of the invention when grown in transparent agar plates under normal (FIGS. 3A-B), osmotic stress (15% PEG; FIGS. 3C-D) or nitrogen-limiting (FIGS. 3E-F) conditions. The different transgenes were grown in transparent agar plates for 17 days (7 days nursery and 10 days after transplanting). The plates were photographed every 3-4 days starting at day 1 after transplanting. FIG. 3A—An image of a photograph of plants taken following 10 after transplanting days on agar plates when grown under normal (standard) conditions. FIG. 3B—An image of root analysis of the plants shown in

FIG. 3A in which the lengths of the roots measured are represented by arrows. FIG. 3C—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under high osmotic (PEG 15%) conditions. FIG. 3D—An image of root analysis of the plants shown in FIG. 3C in which the lengths of the roots measured are represented by arrows. FIG. 3E—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under low nitrogen conditions. FIG. 3F—An image of root analysis of the plants shown in FIG. 3E in which the lengths of the roots measured are represented by arrows.

FIG. 4 is a schematic illustration of the modified pGI binary plasmid containing the Root Promoter (pQNa RP) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal). The isolated polynucleotide sequences according to some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIG. 5 is a schematic illustration of the pQYN plasmid.

FIG. 6 is a schematic illustration of the pQFN plasmid.

FIG. 7 is a schematic illustration of the pQFYN plasmid.

FIG. 8 is a schematic illustration of the modified pGI binary plasmid (pQXNc) used for expressing the isolated polynucleotide sequences of some embodiments of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; RE=any restriction enzyme; Poly-A signal (polyadenylation signal); 35S—the 35S promoter (pqfnc; SEQ ID NO: 8186). The isolated polynucleotide sequences of some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.

FIGS. 9A-B are schematic illustrations of the pEBbVNi tDNA (FIG. 9A) and the pEBbNi tDNA (FIG. 9B) plasmids used in the Brachypodium experiments. pEBbVNi tDNA (FIG. 9A) was used for expression of the isolated polynucleotide sequences of some embodiments of the invention in Brachypodium. pEBbNi tDNA (FIG. 9B) was used for transformation into Brachypodium as a negative control. “RB”=right border; “2LBregion”=2 repeats of left border; “35S”=35S promoter (SEQ ID NO:8202); “NOS ter”=nopaline synthase terminator; “Bar ORF”—BAR open reading frame (GenBank Accession No. JQ293091.1; SEQ ID NO:8203); The isolated polynucleotide sequences of some embodiments of the invention were cloned into the Multiple cloning site of the vector using one or more of the indicated restriction enzyme sites.

DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION

The present invention, in some embodiments thereof, relates to isolated polynucleotides and polypeptides, nucleic acid constructs, transgenic cells and transgenic plants comprising same and methods of generating and using same, and, more particularly, but not exclusively, to methods of increasing yield, harvest index, biomass, photosynthetic capacity, growth rate, vigor, oil content, fiber yield, fiber quality abiotic stress tolerance, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or water use efficiency of a plant of a plant.

Thus, as shown in the Examples section which follows, the present inventors have utilized bioinformatics tools to identify polynucleotides which enhance yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, harvest index, photosynthetic capacity, vigor and/or abiotic stress tolerance of a plant. Genes which affect the trait-of-interest were identified based on expression profiles of genes of several Barley, Sorghum, Maize, Brachypodium, Foxtail millet, Soybean and Tomato ecotypes and accessions in various tissues and growth conditions, homology with genes known to affect the trait-of-interest and using digital expression profile in specific tissues and conditions (SEQ ID NOs: 1-473 (polynucleotides), SEQ ID NOs: 474-760 (polypeptides), Table 1, Examples 1 and 3-14 of the Examples section which follows). Homologous (e.g., orthologous) polypeptides and polynucleotides having the same function were also identified (SEQ ID NOs: 761-4805 (polynucleotides), SEQ ID NOs: 4806-8165 (polypeptides), Table 2, Example 2 of the Examples section which follows). Selected genes were cloned into binary vectors (Table 107, Example 15 of the Examples section which follows), and transformed into agrobacterium (Example 16 of the Examples section which follows) for generation of transgenic plants (e.g., Arabidopsis and Brachypodium transgenic plants, Examples 17-18 of the Examples section which follows) over-expressing the polynucleotides and polypeptides of some embodiments of the invention. Transgenic plants over-expressing the identified polynucleotides were evaluated for the effect of the transgene (exogenous expression of the transgene) under normal or stress conditions in greenhouse seed maturation assays (Examples 19 and 23 of the Examples section which follows), in greenhouse until bolting assays (Example 20 of the Examples section which follows), and in greenhouse until heading assays (Example 22 of the Examples section which follows). These experiments showed significant increases in dry weight, fresh weight, leaf blade area, leaf number, plot coverage, harvest index, seed yield, 1000 seed weight, rosette area, rosette diameter, petiole relative area TP2, petiole relative area TP3, petiole relative area TP4, as well as in growth rate of leaf number, plot coverage and rosette diameter in transgenic plants over-expressing the isolated polynucleotides of some embodiments of the invention as compared to control (native, wild type) under the same growth conditions (Tables 108-115). In addition, seedling analyses were performed to evaluate the T1 and T2 generations of transgenic plants over-expressing the polynucleotides of the invention for increased biomass, root systems for absorbing nitrogen from soil and photosynthetic capacity as compared to control plants (Example 21 of the Examples section which follows, Tables 116-121). These experiments showed significant increases in dry weight, fresh weight, leaf area, roots coverage, roots length, as well as in growth rate of leaf area, roots coverage and root length in transgenic plants over-expressing the isolated polynucleotides of some embodiments of the invention as compared to control (native, wild type) under the same growth conditions (Tables 116-121). Altogether, these results suggest the use of the novel polynucleotides and polypeptides of the invention for increasing yield (including oil yield, seed yield and oil content), harvest index, growth rate, photosynthetic capacity, biomass, vigor, nitrogen use efficiency and/or abiotic stress tolerance of a plant.

Thus, according to an aspect of some embodiments of the invention, there is provided method of increasing oil content, yield, harvest index, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164, thereby increasing the oil content, yield, harvest index, growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, fertilizer use efficiency (e.g., nitrogen use efficiency) and/or abiotic stress tolerance of the plant.

As used herein the phrase “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (numbers) of tissues or organs produced per plant or per growing season. Hence increased yield could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.

It should be noted that a plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (florets) per panicle (expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].

As used herein the phrase “seed yield” refers to the number or weight of the seeds per plant, seeds per pod, or per growing area or to the weight of a single seed, or to the oil extracted per seed. Hence, seed yield can be affected by seed dimensions (e.g., length, width, perimeter, area and/or volume), number of (filled) seeds and seed filling rate and by seed oil content. Hence increase seed yield per plant could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time; and increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants grown on the same given area.

The term “seed” (also referred to as “grain” or “kernel”) as used herein refers to a small embryonic plant enclosed in a covering called the seed coat (usually with some stored food), the product of the ripened ovule of gymnosperm and angiosperm plants which occurs after fertilization and some growth within the mother plant.

The phrase “oil content” as used herein refers to the amount of lipids in a given plant organ, either the seeds (seed oil content) or the vegetative portion of the plant (vegetative oil content) and is typically expressed as percentage of dry weight (10% humidity of seeds) or wet weight (for vegetative portion).

It should be noted that oil content is affected by intrinsic oil production of a tissue (e.g., seed, vegetative portion), as well as the mass or size of the oil-producing tissue per plant or per growth period.

In one embodiment, increase in oil content of the plant can be achieved by increasing the size/mass of a plant's tissue(s) which comprise oil per growth period. Thus, increased oil content of a plant can be achieved by increasing the yield, growth rate, biomass and vigor of the plant.

As used herein the phrase “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season, which could also determine or affect the plant yield or the yield per growing area. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (harvestable) parts, vegetative biomass, roots and seeds.

As used herein the phrase “growth rate” refers to the increase in plant organ/tissue size per time (can be measured in cm² per day or cm/day).

As used herein the phrase “photosynthetic capacity” (also known as “A_(max)”) is a measure of the maximum rate at which leaves are able to fix carbon during photosynthesis. It is typically measured as the amount of carbon dioxide that is fixed per square meter per second, for example as μmol m⁻² sec⁻¹. Plants are able to increase their photosynthetic capacity by several modes of action, such as by increasing the total leaves area (e.g., by increase of leaves area, increase in the number of leaves, and increase in plant's vigor, e.g., the ability of the plant to grow new leaves along time course) as well as by increasing the ability of the plant to efficiently execute carbon fixation in the leaves. Hence, the increase in total leaves area can be used as a reliable measurement parameter for photosynthetic capacity increment.

As used herein the phrase “plant vigor” refers to the amount (measured by weight) of tissue produced by the plant in a given time. Hence increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (seed and/or seedling) results in improved field stand.

Improving early vigor is an important objective of modern rice breeding programs in both temperate and tropical rice cultivars. Long roots are important for proper soil anchorage in water-seeded rice. Where rice is sown directly into flooded fields, and where plants must emerge rapidly through water, longer shoots are associated with vigour. Where drill-seeding is practiced, longer mesocotyls and coleoptiles are important for good seedling emergence. The ability to engineer early vigor into plants would be of great importance in agriculture. For example, poor early vigor has been a limitation to the introduction of maize (Zea mays L.) hybrids based on Corn Belt germplasm in the European Atlantic.

It should be noted that a plant yield can be determined under stress (e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress (normal) conditions.

As used herein, the phrase “non-stress conditions” refers to the growth conditions (e.g., water, temperature, light-dark cycles, humidity, salt concentration, fertilizer concentration in soil, nutrient supply such as nitrogen, phosphorous and/or potassium), that do not significantly go beyond the everyday climatic and other abiotic conditions that plants may encounter, and which allow optimal growth, metabolism, reproduction and/or viability of a plant at any stage in its life cycle (e.g., in a crop plant from seed to a mature plant and back to seed again). Persons skilled in the art are aware of normal soil conditions and climatic conditions for a given plant in a given geographic location. It should be noted that while the non-stress conditions may include some mild variations from the optimal conditions (which vary from one type/species of a plant to another), such variations do not cause the plant to cease growing without the capacity to resume growth.

The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, reproduction and/or viability of a plant. Accordingly, abiotic stress can be induced by suboptimal environmental growth conditions such as, for example, salinity, osmotic stress, water deprivation, drought, flooding, freezing, low or high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or limited nitrogen), atmospheric pollution or UV irradiation. The implications of abiotic stress are discussed in the Background section.

The phrase “abiotic stress tolerance” as used herein refers to the ability of a plant to endure an abiotic stress without suffering a substantial alteration in metabolism, growth, productivity and/or viability.

Plants are subject to a range of environmental challenges. Several of these, including salt stress, general osmotic stress, drought stress and freezing stress, have the ability to impact whole plant and cellular water availability. Not surprisingly, then, plant responses to this collection of stresses are related. Zhu (2002) Ann. Rev. Plant Biol. 53: 247-273 et al. note that “most studies on water stress signaling have focused on salt stress primarily because plant responses to salt and drought are closely related and the mechanisms overlap”. Many examples of similar responses and pathways to this set of stresses have been documented. For example, the CBF transcription factors have been shown to condition resistance to salt, freezing and drought (Kasuga et al. (1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene is induced in response to both salt and dehydration stress, a process that is mediated largely through an ABA signal transduction process (Uno et al. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting in altered activity of transcription factors that bind to an upstream element within the rd29B promoter. In Mesembryanthemum crystallinum (ice plant), Patharker and Cushman have shown that a calcium-dependent protein kinase (McCDPK1) is induced by exposure to both drought and salt stresses (Patharker and Cushman (2000) Plant J. 24: 679-691). The stress-induced kinase was also shown to phosphorylate a transcription factor, presumably altering its activity, although transcript levels of the target transcription factor are not altered in response to salt or drought stress. Similarly, Saijo et al. demonstrated that a rice salt/drought-induced calmodulin-dependent protein kinase (OsCDPK7) conferred increased salt and drought tolerance to rice when overexpressed (Saijo et al. (2000) Plant J. 23: 319-327).

Exposure to dehydration invokes similar survival strategies in plants as does freezing stress (see, for example, Yelenosky (1989) Plant Physiol 89: 444-451) and drought stress induces freezing tolerance (see, for example, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy et al. (1992) Planta 188: 265-270). In addition to the induction of cold-acclimation proteins, strategies that allow plants to survive in low water conditions may include, for example, reduced surface area, or surface oil or wax production. In another example increased solute content of the plant prevents evaporation and water loss due to heat, drought, salinity, osmoticum, and the like therefore providing a better plant tolerance to the above stresses.

It will be appreciated that some pathways involved in resistance to one stress (as described above), will also be involved in resistance to other stresses, regulated by the same or homologous genes. Of course, the overall resistance pathways are related, not identical, and therefore not all genes controlling resistance to one stress will control resistance to the other stresses. Nonetheless, if a gene conditions resistance to one of these stresses, it would be apparent to one skilled in the art to test for resistance to these related stresses. Methods of assessing stress resistance are further provided in the Examples section which follows.

As used herein the phrase “water use efficiency (WUE)” refers to the level of organic matter produced per unit of water consumed by the plant, i.e., the dry weight of a plant in relation to the plant's water use, e.g., the biomass produced per unit transpiration.

As used herein the phrase “fertilizer use efficiency” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per fertilizer unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of one or more of the minerals and organic moieties absorbed by the plant, such as nitrogen, phosphates and/or potassium.

As used herein the phrase “fertilizer-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of a fertilizer applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

As used herein the phrase “nitrogen use efficiency (NUE)” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per nitrogen unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant.

As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.

Improved plant NUE and FUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field. Thus, the polynucleotides and polypeptides of some embodiments of the invention positively affect plant yield, seed yield, and plant biomass. In addition, the benefit of improved plant NUE will certainly improve crop quality and biochemical constituents of the seed such as protein yield and oil yield.

It should be noted that improved ABST will confer plants with improved vigor also under non-stress conditions, resulting in crops having improved biomass and/or yield e.g., elongated fibers for the cotton industry, higher oil content.

The term “fiber” is usually inclusive of thick-walled conducting cells such as vessels and tracheids and to fibrillar aggregates of many individual fiber cells. Hence, the term “fiber” refers to (a) thick-walled conducting and non-conducting cells of the xylem; (b) fibers of extraxylary origin, including those from phloem, bark, ground tissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds, and flowers or inflorescences (such as those of Sorghum vulgare used in the manufacture of brushes and brooms).

Example of fiber producing plants, include, but are not limited to, agricultural crops such as cotton, silk cotton tree (Kapok, Ceiba pentandra), desert willow, creosote bush, winterfat, balsa, kenaf, roselle, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok, coir, bamboo, spanish moss and Agave spp. (e.g. sisal).

As used herein the phrase “fiber quality” refers to at least one fiber parameter which is agriculturally desired, or required in the fiber industry (further described hereinbelow). Examples of such parameters, include but are not limited to, fiber length, fiber strength, fiber fitness, fiber weight per unit length, maturity ratio and uniformity (further described hereinbelow).

Cotton fiber (lint) quality is typically measured according to fiber length, strength and fineness. Accordingly, the lint quality is considered higher when the fiber is longer, stronger and finer.

As used herein the phrase “fiber yield” refers to the amount or quantity of fibers produced from the fiber producing plant.

As used herein the term “increasing” refers to at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, increase in yield, seed yield, biomass, growth rate, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant as compared to a native plant or a wild type plant [i.e., a plant not modified with the biomolecules (polynucleotide or polypeptides) of the invention, e.g., a non-transformed plant of the same species which is grown under the same (e.g., identical) growth conditions].

The phrase “expressing within the plant an exogenous polynucleotide” as used herein refers to upregulating the expression level of an exogenous polynucleotide within the plant by introducing the exogenous polynucleotide into a plant cell or plant and expressing by recombinant means, as further described herein below.

As used herein “expressing” refers to expression at the mRNA and optionally polypeptide level.

As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant (e.g., a nucleic acid sequence from a different species) or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule and/or a polypeptide molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially homologous to an endogenous nucleic acid sequence of the plant.

The term “endogenous” as used herein refers to any polynucleotide or polypeptide which is present and/or naturally expressed within a plant or a cell thereof.

According to some embodiments of the invention, the exogenous polynucleotide of the invention comprises a nucleic acid sequence encoding a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164.

Homologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to homologous genes in different organisms due to ancestral relationship. Thus, orthologs are evolutionary counterparts derived from a single ancestral gene in the last common ancestor of given two species (Koonin E V and Galperin M Y (Sequence—Evolution—Function: Computational Approaches in Comparative Genomics. Boston: Kluwer Academic; 2003. Chapter 2, Evolutionary Concept in Genetics and Genomics. Available from: ncbi(dot)nlm(dot)nih(dot)gov/books/NBK20255) and therefore have great likelihood of having the same function.

One option to identify orthologues in monocot plant species is by performing a reciprocal blast search. This may be done by a first blast involving blasting the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: ncbi(dot)nlm(dot)nih(dot)gov. If orthologues in rice were sought, the sequence-of-interest would be blasted against, for example, the 28,469 full-length cDNA clones from Oryza sativa Nipponbare available at NCBI. The blast results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then blasted back (second blast) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second blasts are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first blast identifies in the second blast the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (homolog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [ebi(dot)ac(dot)uk/Tools/clustalw2/index(dot)html], followed by a neighbor-joining tree (wikipedia(dot)org/wiki/Neighbor-joining) which helps visualizing the clustering.

Homology (e.g., percent homology, sequence identity+sequence similarity) can be determined using any homology comparison software computing a pairwise sequence alignment.

As used herein, “sequence identity” or “identity” in the context of two nucleic acid or polypeptide sequences includes reference to the residues in the two sequences which are the same when aligned. When percentage of sequence identity is used in reference to proteins it is recognized that residue positions which are not identical often differ by conservative amino acid substitutions, where amino acid residues are substituted for other amino acid residues with similar chemical properties (e.g. charge or hydrophobicity) and therefore do not change the functional properties of the molecule. Where sequences differ in conservative substitutions, the percent sequence identity may be adjusted upwards to correct for the conservative nature of the substitution. Sequences which differ by such conservative substitutions are considered to have “sequence similarity” or “similarity”. Means for making this adjustment are well-known to those of skill in the art. Typically this involves scoring a conservative substitution as a partial rather than a full mismatch, thereby increasing the percentage sequence identity. Thus, for example, where an identical amino acid is given a score of 1 and a non-conservative substitution is given a score of zero, a conservative substitution is given a score between zero and 1. The scoring of conservative substitutions is calculated, e.g., according to the algorithm of Henikoff S and Henikoff J G. [Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A. 1992, 89(22): 10915-9].

Identity (e.g., percent homology) can be determined using any homology comparison software, including for example, the BlastN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.

According to some embodiments of the invention, the identity is a global identity, i.e., an identity over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

According to some embodiments of the invention, the term “homology” or “homologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences; or the identity of an amino acid sequence to one or more nucleic acid sequence.

According to some embodiments of the invention, the homology is a global homology, i.e., a homology over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.

The degree of homology or identity between two or more sequences can be determined using various known sequence comparison tools. Following is a non-limiting description of such tools which can be used along with some embodiments of the invention.

Pairwise global alignment was defined by S. B. Needleman and C. D. Wunsch, “A general method applicable to the search of similarities in the amino acid sequence of two proteins” Journal of Molecular Biology, 1970, pages 443-53, volume 48).

For example, when starting from a polypeptide sequence and comparing to other polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used to find the optimum alignment (including gaps) of two sequences along their entire length—a “Global alignment”. Default parameters for Needleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10; gapextend=0.5; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 tool (for protein-protein comparison) include: gapopen=8; gapextend=2; datafile=EBLOSUM62; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting from a polypeptide sequence and comparing to polynucleotide sequences, the OneModel FramePlus algorithm [Halperin, E., Faigler, S. and Gill-More, R. (1999)—FramePlus: aligning DNA to protein sequences. Bioinformatics, 15, 867-873) (available from biocceleration(dot)com/Products(dot)html] can be used with following default parameters: model=frame+_p2n.model mode=local.

According to some embodiments of the invention, the parameters used with the OneModel FramePlus algorithm are model=frame+_p2n.model, mode=qglobal.

According to some embodiments of the invention, the threshold used to determine homology using the OneModel FramePlus algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

When starting with a polynucleotide sequence and comparing to other polynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used with the following default parameters: (EMBOSS-6.0.1) gapopen=10; gapextend=0.5; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10; gapextend=0.2; datafile=EDNAFULL; brief=YES.

According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm for comparison of polynucleotides with polynucleotides is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiment, determination of the degree of homology further requires employing the Smith-Waterman algorithm (for protein-protein comparison or nucleotide-nucleotide comparison).

Default parameters for GenCore 6.0 Smith-Waterman algorithm include: model=sw.model.

According to some embodiments of the invention, the threshold used to determine homology using the Smith-Waterman algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.

According to some embodiments of the invention, the global homology is performed on sequences which are pre-selected by local homology to the polypeptide or polynucleotide of interest (e.g., 60% identity over 60% of the sequence length), prior to performing the global homology to the polypeptide or polynucleotide of interest (e.g., 80% global homology on the entire sequence). For example, homologous sequences are selected using the BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+algorithm alignment for the second stage. Local identity (Blast alignments) is defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. In this specific embodiment (when the local identity is used), the default filtering of the Blast package is not utilized (by setting the parameter “−F F”).

In the second stage, homologs are defined based on a global identity of at least 80% to the core gene polypeptide sequence.

According to some embodiments of the invention, two distinct forms for finding the optimal global alignment for protein or nucleotide sequences are used:

I. Between Two Proteins (Following the Blastp Filter):

EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters:

gapopen=8 gapextend=2. The rest of the parameters are unchanged from the default options listed here:

Standard (Mandatory) qualifiers:

[-asequence] sequence Sequence filename and optional format, or reference (input USA)

[-bsequence] seqall Sequence(s) filename and optional format, or reference (input USA)

-   -   -gapopen float [10.0 for any sequence]. The gap open penalty is         the score taken away when a gap is created. The best value         depends on the choice of comparison matrix. The default value         assumes you are using the EBLOSUM62 matrix for protein         sequences, and the EDNAFULL matrix for nucleotide sequences.         (Floating point number from 1.0 to 100.0)     -   -gapextend float [0.5 for any sequence]. The gap extension,         penalty is added to the standard gap penalty for each base or         residue in the gap. This is how long gaps are penalized. Usually         you will expect a few long gaps rather than many short gaps, so         the gap extension penalty should be lower than the gap penalty.         An exception is where one or both sequences are single reads         with possible sequencing errors in which case you would expect         many single base gaps. You can get this result by setting the         gap open penalty to zero (or very low) and using the gap         extension penalty to control gap scoring. (Floating point number         from 0.0 to 10.0) [-outfile] align [*.needle] Output alignment         file name

Additional (Optional) Qualifiers:

-   -   -datafile matrix [EBLOSUM62 for protein, EDNAFULL for DNA].

This is the scoring matrix file used when comparing sequences. By default it is the file ‘EBLOSUM62’ (for proteins) or the file ‘EDNAFULL’ (for nucleic sequences). These files are found in the ‘data’ directory of the EMBOSS installation.

Advanced (Unprompted) Qualifiers:

-   -   -[no]brief Boolean [Y] Brief identity and similarity

Associated Qualifiers:

-   -   “-asequence” associated qualifiers     -   -sbegin1 integer Start of the sequence to be used     -   -send1 integer End of the sequence to be used     -   -sreverse1 boolean Reverse (if DNA)     -   -sask1 boolean Ask for begin/end/reverse     -   -snucleotide1 boolean Sequence is nucleotide     -   -sprotein1 boolean Sequence is protein     -   -slower1 boolean Make lower case     -   -supper1 boolean Make upper case     -   -sformat1 string Input sequence format     -   -sdbname1 string Database name     -   -sid1 string Entryname     -   -ufo1 string UFO features     -   -fformat1 string Features format     -   -fopenfile1 string Features file name     -   “-bsequence” associated qualifiers     -   -sbegin2 integer Start of each sequence to be used     -   -send2 integer End of each sequence to be used     -   -sreverse2 boolean Reverse (if DNA)     -   -sask2 boolean Ask for begin/end/reverse     -   -snucleotide2 boolean Sequence is nucleotide     -   -sprotein2 boolean Sequence is protein     -   -slower2 boolean Make lower case     -   -supper2 boolean Make upper case     -   -sformat2 string Input sequence format     -   -sdbname2 string Database name     -   -sid2 string Entryname     -   -ufo2 string UFO features     -   -fformat2 string Features format     -   -fopenfile2 string Features file name     -   “-outfile” associated qualifiers     -   -aformat3 string Alignment format     -   -aextension3 string File name extension     -   -adirectory3 string Output directory     -   -aname3 string Base file name     -   -awidth3 integer Alignment width     -   -aaccshow3 boolean Show accession number in the header     -   -adesshow3 boolean Show description in the header     -   -ausashow3 boolean Show the full USA in the alignment     -   -aglobal3 boolean Show the full sequence in alignment

General Qualifiers:

-   -   -auto boolean Turn off prompts     -   -stdout boolean Write first file to standard output     -   -filter boolean Read first file from standard input, write first         file to standard output     -   -options Boolean Prompt for standard and additional values     -   -debug Boolean Write debug output to program.dbg     -   -verbose Boolean Report some/full command line options     -   -help boolean Report command line options. More information on         associated and general qualifiers can be found with -help         -verbose     -   -warning boolean Report warnings     -   -error boolean Report errors     -   -fatal boolean Report fatal errors     -   -die Boolean Report dying program messages

2. Between a Protein Sequence and a Nucleotide Sequence (Following the Tblastn Filter):

GenCore 6.0 OneModel application utilizing the Frame+algorithm with the following parameters: model=frame+_p2n. model mode=qglobal—q=protein. sequence—db=nucleotide.sequence. The rest of the parameters are unchanged from the default options:

Usage:

om -model=<model_fname>[-q=]query [-db=]database [options] -model=<model_fname> Specifies the model that you want to run. All models supplied by Compugen are located in the directory $CGNROOT/models/.

Valid Command Line Parameters:

-dev=<dev_name> Selects the device to be used by the application.

Valid devices are:

-   -   Bic—Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N         models).     -   xlg—BioXL/G (valid for all models except XSW).     -   xlp—BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).     -   xlh—BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).     -   soft—Software device (for all models).         -q=<query> Defines the query set. The query can be a sequence         file or a database reference. You can specify a query by its         name or by accession number. The format is detected         automatically. However, you may specify a format using the -qfmt         parameter. If you do not specify a query, the program prompts         for one. If the query set is a database reference, an output         file is produced for each sequence in the query.         -db=<database name> Chooses the database set. The database set         can be a sequence file or a database reference. The database         format is detected automatically. However, you may specify a         format using -dfmt parameter.         -qacc Add this parameter to the command line if you specify         query using accession numbers.         -dacc Add this parameter to the command line if you specify a         database using accession numbers.         -dfmt/-qfmt=<format_type> Chooses the database/query format         type. Possible formats are:     -   fasta—fasta with seq type auto-detected.     -   fastap—fasta protein seq.     -   fastan—fasta nucleic seq.     -   gcg—gcg format, type is auto-detected.     -   gcg9seq—gcg9 format, type is auto-detected.     -   gcg9seqp—gcg9 format protein seq.     -   gcg9seqn—gcg9 format nucleic seq.     -   nbrf—nbrf seq, type is auto-detected.     -   nbrfp—nbrf protein seq.     -   nbrfn—nbrf nucleic seq.     -   embl—embl and swissprot format.     -   genbank—genbank format (nucleic).     -   blast—blast format.     -   nbrf gcg—nbrf-gcg seq, type is auto-detected.     -   nbrf gcgp—nbrf-gcg protein seq.     -   nbrf gcgn—nbrf-gcg nucleic seq.     -   raw—raw ascii sequence, type is auto-detected.     -   rawp—raw ascii protein sequence.     -   rawn—raw ascii nucleic sequence.     -   pir—pir codata format, type is auto-detected.     -   profile—gcg profile (valid only for -qfmt     -   in SW, XSW, FRAME_P2N, and FRAME+_P2N).         -out=<out_fname> The name of the output file.         -suffix=<name> The output file name suffix.         -gapop=<n> Gap open penalty. This parameter is not valid for         FRAME+. For FrameSearch the default is 12.0. For other searches         the default is 10.0.         -gapext=<n> Gap extend penalty. This parameter is not valid for         FRAME+. For FrameSearch the default is 4.0. For other models:         the default for protein searches is 0.05, and the default for         nucleic searches is 1.0.         -qgapop=<n> The penalty for opening a gap in the query sequence.         The default is 10.0. Valid for XSW.         -qgapext=<n> The penalty for extending a gap in the query         sequence. The default is 0.05. Valid for XSW.         -start=<n> The position in the query sequence to begin the         search.         -end=<n> The position in the query sequence to stop the search.         -qtrans Performs a translated search, relevant for a nucleic         query against a protein database. The nucleic query is         translated to six reading frames and a result is given for each         frame.

Valid for SW and XSW.

-dtrans Performs a translated search, relevant for a protein query against a DNA database. Each database entry is translated to six reading frames and a result is given for each frame.

Valid for SW and XSW.

Note: “-qtrans” and “-dtrans” options are mutually exclusive. -matrix=<matrix_file> Specifies the comparison matrix to be used in the search. The matrix must be in the BLAST format. If the matrix file is not located in $CGNROOT/tables/matrix, specify the full path as the value of the -matrix parameter. -trans=<transtab_name> Translation table. The default location for the table is $CGNROOT/tables/trans. -onestrand Restricts the search to just the top strand of the query/database nucleic sequence. -list=<n> The maximum size of the output hit list. The default is 50. -docalign=<n> The number of documentation lines preceding each alignment. The default is 10. -thr_score=<score_name> The score that places limits on the display of results. Scores that are smaller than -thr_min value or larger than -thr_max value are not shown. Valid options are: quality.

zscore.

escore.

-thr_max=<n> The score upper threshold. Results that are larger than -thr_max value are not shown. -thr_min=<n> The score lower threshold. Results that are lower than -thr_min value are not shown. -align=<n> The number of alignments reported in the output file. -noalign Do not display alignment. Note: “-align” and “-noalign” parameters are mutually exclusive. -outfmt=<format_name> Specifies the output format type. The default format is PFS. Possible values are:

PFS—PFS text format

FASTA—FASTA text format

BLAST—BLAST text format

-nonorm Do not perform score normalization. -norm=<norm_name> Specifies the normalization method. Valid options are:

log—logarithm normalization.

std—standard normalization.

stat—Pearson statistical method.

Note: “-nonorm” and “-norm” parameters cannot be used together. Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop, -ygapext, -delop, and -delext apply only to FRAME+. -xgapop=<n> The penalty for opening a gap when inserting a codon (triplet). The default is 12.0. -xgapext=<n> The penalty for extending a gap when inserting a codon (triplet). The default is 4.0. -ygapop=<n> The penalty for opening a gap when deleting an amino acid. The default is 12.0. -ygapext=<n> The penalty for extending a gap when deleting an amino acid. The default is 4.0. -fgapop=<n> The penalty for opening a gap when inserting a DNA base. The default is 6.0. -fgapext=<n> The penalty for extending a gap when inserting a DNA base. The default is 7.0. -delop=<n> The penalty for opening a gap when deleting a DNA base. The default is 6.0. -delext=<n> The penalty for extending a gap when deleting a DNA base. The default is 7.0. -silent No screen output is produced. -host=<host_name> The name of the host on which the server runs. By default, the application uses the host specified in the file $CGNROOT/cgnhosts. -wait Do not go to the background when the device is busy. This option is not relevant for the Parseq or Soft pseudo device. -batch Run the job in the background. When this option is specified, the file “$CGNROOT/defaults/batch.defaults” is used for choosing the batch command. If this file does not exist, the command “at now” is used to run the job. Note: “-batch” and “-wait” parameters are mutually exclusive. -version Prints the software version number. -help Displays this help message. To get more specific help type:

-   -   “om -model=<model_fname>-help”.

According to some embodiments the homology is a local homology or a local identity.

Local alignments tools include, but are not limited to the BlastP, BlastN, BlastX or TBLASTN software of the National Center of Biotechnology Information (NCBI), FASTA, and the Smith-Waterman algorithm.

A tblastn search allows the comparison between a protein sequence to the six-frame translations of a nucleotide database. It can be a very productive way of finding homologous protein coding regions in unannotated nucleotide sequences such as expressed sequence tags (ESTs) and draft genome records (HTG), located in the BLAST databases est and htgs, respectively.

Default parameters for blastp include: Max target sequences: 100; Expected threshold: e⁻⁵; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

Local alignments tools, which can be used include, but are not limited to, the tBLASTX algorithm, which compares the six-frame conceptual translation products of a nucleotide query sequence (both strands) against a protein sequence database. Default parameters include: Max target sequences: 100; Expected threshold: 10; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs:474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164.

According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to some embodiments of the invention, the method of increasing yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs:474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164, thereby increasing the yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO:474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 or 8164.

According to an aspect of some embodiments of the invention, the method of increasing yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs:474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164, thereby increasing the yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to an aspect of some embodiments of the invention, there is provided a method of increasing yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164, thereby increasing the yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 or 8164.

According to some embodiments of the invention the exogenous polynucleotide comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804.

According to an aspect of some embodiments of the invention, there is provided a method of increasing yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804, thereby increasing the yield, harvest index, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance, and/or nitrogen use efficiency of the plant.

According to some embodiments of the invention the exogenous polynucleotide is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804.

According to some embodiments of the invention the exogenous polynucleotide is set forth by SEQ ID NO:1-473, 761-4804 or 4805.

According to some embodiments of the invention the method of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant further comprising selecting a plant (from the transformed plants) having an increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

It should be noted that selecting a transformed plant having an increased trait as compared to a native (or non-transformed) plant grown under the same growth conditions can be performed by selecting for the trait, e.g., validating the ability of the transformed plant to exhibit the increased trait using well known assays (e.g., seedling analyses, greenhouse assays) as is further described herein below.

According to some embodiments of the invention selecting is performed under non-stress conditions.

According to some embodiments of the invention selecting is performed under abiotic stress conditions.

According to some embodiments of the invention selecting is performed under nitrogen limiting conditions.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (e.g., having sequence similarity or sequence identity) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164,

(b) selecting from the plants of step (a) a plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance (e.g., by selecting the plants for the increased trait),

thereby selecting the plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:

(a) providing plants transformed with an exogenous polynucleotide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804,

(b) selecting from the plants of step (a) a plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance,

thereby selecting the plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.

As used herein the term “polynucleotide” refers to a single or double stranded nucleic acid sequence which is isolated and provided in the form of an RNA sequence, a complementary polynucleotide sequence (cDNA), a genomic polynucleotide sequence and/or a composite polynucleotide sequences (e.g., a combination of the above).

The term “isolated” refers to at least partially separated from the natural environment e.g., from a plant cell.

As used herein the phrase “complementary polynucleotide sequence” refers to a sequence, which results from reverse transcription of messenger RNA using a reverse transcriptase or any other RNA dependent DNA polymerase. Such a sequence can be subsequently amplified in vivo or in vitro using a DNA dependent DNA polymerase.

As used herein the phrase “genomic polynucleotide sequence” refers to a sequence derived (isolated) from a chromosome and thus it represents a contiguous portion of a chromosome.

As used herein the phrase “composite polynucleotide sequence” refers to a sequence, which is at least partially complementary and at least partially genomic. A composite sequence can include some exonal sequences required to encode the polypeptide of the present invention, as well as some intronic sequences interposing therebetween. The intronic sequences can be of any source, including of other genes, and typically will include conserved splicing signal sequences. Such intronic sequences may further include cis acting expression regulatory elements.

Nucleic acid sequences encoding the polypeptides of the present invention may be optimized for expression. Examples of such sequence modifications include, but are not limited to, an altered G/C content to more closely approach that typically found in the plant species of interest, and the removal of codons atypically found in the plant species commonly referred to as codon optimization.

The phrase “codon optimization” refers to the selection of appropriate DNA nucleotides for use within a structural gene or fragment thereof that approaches codon usage within the plant of interest. Therefore, an optimized gene or nucleic acid sequence refers to a gene in which the nucleotide sequence of a native or naturally occurring gene has been modified in order to utilize statistically-preferred or statistically-favored codons within the plant. The nucleotide sequence typically is examined at the DNA level and the coding region optimized for expression in the plant species determined using any suitable procedure, for example as described in Sardana et al. (1996, Plant Cell Reports 15:677-681). In this method, the standard deviation of codon usage, a measure of codon usage bias, may be calculated by first finding the squared proportional deviation of usage of each codon of the native gene relative to that of highly expressed plant genes, followed by a calculation of the average squared deviation. The formula used is: 1 SDCU=n=1 N [(Xn−Yn)/Yn ]2/N, where Xn refers to the frequency of usage of codon n in highly expressed plant genes, where Yn to the frequency of usage of codon n in the gene of interest and N refers to the total number of codons in the gene of interest. A Table of codon usage from highly expressed genes of dicotyledonous plants is compiled using the data of Murray et al. (1989, Nuc Acids Res. 17:477-498).

One method of optimizing the nucleic acid sequence in accordance with the preferred codon usage for a particular plant cell type is based on the direct use, without performing any extra statistical calculations, of codon optimization Tables such as those provided on-line at the Codon Usage Database through the NIAS (National Institute of Agrobiological Sciences) DNA bank in Japan (kazusa(dot)or(dot)jp/codon/). The Codon Usage Database contains codon usage tables for a number of different species, with each codon usage Table having been statistically determined based on the data present in Genbank.

By using the above Tables to determine the most preferred or most favored codons for each amino acid in a particular species (for example, rice), a naturally-occurring nucleotide sequence encoding a protein of interest can be codon optimized for that particular plant species. This is effected by replacing codons that may have a low statistical incidence in the particular species genome with corresponding codons, in regard to an amino acid, that are statistically more favored. However, one or more less-favored codons may be selected to delete existing restriction sites, to create new ones at potentially useful junctions (5′ and 3′ ends to add signal peptide or termination cassettes, internal sites that might be used to cut and splice segments together to produce a correct full-length sequence), or to eliminate nucleotide sequences that may negatively effect mRNA stability or expression.

The naturally-occurring encoding nucleotide sequence may already, in advance of any modification, contain a number of codons that correspond to a statistically-favored codon in a particular plant species. Therefore, codon optimization of the native nucleotide sequence may comprise determining which codons, within the native nucleotide sequence, are not statistically-favored with regards to a particular plant, and modifying these codons in accordance with a codon usage table of the particular plant to produce a codon optimized derivative. A modified nucleotide sequence may be fully or partially optimized for plant codon usage provided that the protein encoded by the modified nucleotide sequence is produced at a level higher than the protein encoded by the corresponding naturally occurring or native gene. Construction of synthetic genes by altering the codon usage is described in for example PCT Patent Application 93/07278.

According to some embodiments of the invention, the exogenous polynucleotide is a non-coding RNA.

As used herein the phrase ‘non-coding RNA″ refers to an RNA molecule which does not encode an amino acid sequence (a polypeptide). Examples of such non-coding RNA molecules include, but are not limited to, an antisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor of a Piwi-interacting RNA (piRNA).

Non-limiting examples of non-coding RNA polynucleotides are provided in SEQ ID NOs: 220, 268, 473, 1276, 1461, 1743, 2314, 3002, 3068, 3449, 3779, and 4481.

Thus, the invention encompasses nucleic acid sequences described hereinabove; fragments thereof, sequences hybridizable therewith, sequences homologous thereto, sequences encoding similar polypeptides with different codon usage, altered sequences characterized by mutations, such as deletion, insertion or substitution of one or more nucleotides, either naturally occurring or man induced, either randomly or in a targeted fashion.

According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-6895, 6897-7249, 7251-8134, 8136-8163 and 8164.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804.

According to some embodiments of the invention the nucleic acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, abiotic stress tolerance and/or water use efficiency of a plant.

According to some embodiments of the invention the isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-473, 761-4804 and 4805.

According to some embodiments of the invention the isolated polynucleotide is set forth by SEQ ID NO:1-473, 761-4804 or 4805.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NO: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164.

According to some embodiments of the invention the amino acid sequence is capable of increasing yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, abiotic stress tolerance and/or water use efficiency of a plant.

The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs:474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to an aspect of some embodiments of the invention, there is provided a nucleic acid construct comprising the isolated polynucleotide of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.

The invention provides an isolated polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to an amino acid sequence selected from the group consisting of SEQ ID NO: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164.

According to some embodiments of the invention, the polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs:474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to some embodiments of the invention, the polypeptide is set forth by SEQ ID NO: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 or 8164.

The invention also encompasses fragments of the above described polypeptides and polypeptides having mutations, such as deletions, insertions or substitutions of one or more amino acids, either naturally occurring or man induced, either randomly or in a targeted fashion.

The term ‘“plant” as used herein encompasses a whole plant, a grafted plant, ancestor(s) and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), rootstock, scion, and plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores. Plants that are particularly useful in the methods of the invention include all plants which belong to the superfamily Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barley, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.

According to some embodiments of the invention, the plant used by the method of the invention is a crop plant such as rice, maize, wheat, barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean, sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea), flax, lupinus, rapeseed, tobacco, poplar and cotton.

According to some embodiments of the invention the plant is a dicotyledonous plant.

According to some embodiments of the invention the plant is a monocotyledonous plant.

According to some embodiments of the invention, there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, the nucleic acid construct of some embodiments of the invention and/or the polypeptide of some embodiments of the invention.

According to some embodiments of the invention, expressing the exogenous polynucleotide of the invention within the plant is effected by transforming one or more cells of the plant with the exogenous polynucleotide, followed by generating a mature plant from the transformed cells and cultivating the mature plant under conditions suitable for expressing the exogenous polynucleotide within the mature plant.

According to some embodiments of the invention, the transformation is effected by introducing to the plant cell a nucleic acid construct which includes the exogenous polynucleotide of some embodiments of the invention and at least one promoter for directing transcription of the exogenous polynucleotide in a host cell (a plant cell). Further details of suitable transformation approaches are provided hereinbelow.

As mentioned, the nucleic acid construct according to some embodiments of the invention comprises a promoter sequence and the isolated polynucleotide of some embodiments of the invention.

According to some embodiments of the invention, the isolated polynucleotide is operably linked to the promoter sequence.

A coding nucleic acid sequence is “operably linked” to a regulatory sequence (e.g., promoter) if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto.

As used herein, the term “promoter” refers to a region of DNA which lies upstream of the transcriptional initiation site of a gene to which RNA polymerase binds to initiate transcription of RNA. The promoter controls where (e.g., which portion of a plant) and/or when (e.g., at which stage or condition in the lifetime of an organism) the gene is expressed.

According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.

As used herein the phrase “heterologous promoter” refers to a promoter from a different species or from the same species but from a different gene locus as of the isolated polynucleotide sequence.

According to some embodiments of the invention, the isolated polynucleotide is heterologous to the plant cell (e.g., the polynucleotide is derived from a different plant species when compared to the plant cell, thus the isolated polynucleotide and the plant cell are not from the same plant species).

Any suitable promoter sequence can be used by the nucleic acid construct of the present invention. Preferably the promoter is a constitutive promoter, a tissue-specific, or an abiotic stress-inducible promoter.

According to some embodiments of the invention, the promoter is a plant promoter, which is suitable for expression of the exogenous polynucleotide in a plant cell.

Suitable promoters for expression in wheat include, but are not limited to, Wheat SPA promoter (SEQ ID NO: 8166; Albanietal, Plant Cell, 9: 171-184, 1997, which is fully incorporated herein by reference), wheat LMW (SEQ ID NO: 8167 (longer LMW promoter), and SEQ ID NO: 8168 (LMW promoter) and HMW glutenin-1 (SEQ ID NO: 8169 (Wheat HMW glutenin-1 longer promoter); and SEQ ID NO: 8170 (Wheat HMW glutenin-1 Promoter); Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009 Plant Biotechnology Journal 7:240-253, each of which is fully incorporated herein by reference), wheat alpha, beta and gamma gliadins [e.g., SEQ ID NO: 8171 (wheat alpha gliadin, B genome, promoter); SEQ ID NO: 8172 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which is fully incorporated herein by reference], wheat TdPR60 [SEQ ID NO:8173 (wheat TdPR60 longer promoter) or SEQ ID NO:8174 (wheat TdPR60 promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which is fully incorporated herein by reference], maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO:8175); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:8176); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO:8177; Mc Elroy et al. 1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporated herein by reference), rice GOS2 [SEQ ID NO: 8178 (rice GOS2 longer promoter) and SEQ ID NO: 8179 (rice GOS2 Promoter); De Pater et al. Plant J. 1992; 2: 837-44, which is fully incorporated herein by reference], arabidopsis Pho1 [SEQ ID NO: 8180 (arabidopsis Pho1 Promoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which is fully incorporated herein by reference], ExpansinB promoters, e.g., rice ExpB5 [SEQ ID NO:8181 (rice ExpB5 longer promoter) and SEQ ID NO: 8182 (rice ExpB5 promoter)] and Barley ExpB1 [SEQ ID NO: 8183 (barley ExpB1 Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fully incorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQ ID NO: 8184), Guerin and Carbonero, Plant Physiology May 1997 vol. 114 no. 1 55-62, which is fully incorporated herein by reference], and rice PG5a [SEQ ID NO:8185, U.S. Pat. No. 7,700,835, Nakase et al., Plant Mol Biol. 32:621-30, 1996, each of which is fully incorporated herein by reference].

Suitable constitutive promoters include, for example, CaMV 35S promoter [SEQ ID NO: 8186 (CaMV 35S (QFNC) Promoter); SEQ ID NO: 8187 (PJJ 35S from Brachypodium); SEQ ID NO: 8188 (CaMV 35S (OLD) Promoter) (Odell et al., Nature 313:810-812, 1985)], Arabidopsis At6669 promoter (SEQ ID NO: 8189 (Arabidopsis At6669 (OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669 promoter (SEQ ID NO: 8190 (Arabidopsis At6669 (NEW) Promoter)); maize Ub1 Promoter [cultivar Nongda 105 (SEQ ID NO:8175); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:8176); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 8177, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al., Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al., Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 8178 (rice GOS2 longer Promoter) and SEQ ID NO: 8179 (rice GOS2 Promoter), de Pater et al, Plant J November; 2(6):837-44, 1992]; RBCS promoter (SEQ ID NO:8191); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5,608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680; 5,268,463; and 5,608,142.

Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression, SEQ ID NO: 8192), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 8193) described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184, or the promoters described in Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well as Arabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell and Environment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin (originated from Brassica napus which is characterized by a seed specific promoter activity; Stuitje A. R. et. al. Plant Biotechnology Journal 1 (4): 301-309; SEQ ID NO: 8194 (Brassica napus NAPIN Promoter) from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 8185; U.S. Pat. No. 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQ ID NO: 8195, US 2009/0031450 A1), late seed development Arabidopsis ABI3 (AT3G24650) (SEQ ID NO: 8196 (Arabidopsis ABI3 (AT3G24650) longer Promoter) or 8197 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al., Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson’ et al., Plant Mol. Biol. 18: 235-245, 1992), legumin (Ellis, et al. Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143).323-32 1990), napA (Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO:8166; Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins, et al., Plant Mol. Biol. 19: 873-876, 1992)], endosperm specific promoters [e.g., wheat LMW (SEQ ID NO: 8167 (Wheat LMW Longer Promoter), and SEQ ID NO: 8168 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO: 8169 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 8170 (Wheat HMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell 2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat alpha, beta and gamma gliadins (SEQ ID NO: 8171 (wheat alpha gliadin (B genome) promoter); SEQ ID NO: 8172 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984), Barley ltrl promoter, barley B1, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet 250:750-60, 1996), Barley DOF (Mena et al, The Plant Journal, 116(1): 53-62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 8184 (Barley SS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62, 1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009), barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, Robert J. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice -globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8) 885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgum gamma-kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma et al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol. Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245; 1989), Arabidopsis apetala-3 (Tilly et al., Development. 125:1647-57, 1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 8198 (Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development 124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQ ID NO: 8199]; rice ExpB5 (SEQ ID NO:8182 (rice ExpB5 Promoter); or SEQ ID NO: 8181 (rice ExpB5 longer Promoter)) and barley ExpB1 promoters (SEQ ID NO:8183) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsis ATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 8200; Chen et al., Plant Phys 135:1956-66, 2004); arabidopsis Phot promoter (SEQ ID NO: 8180, Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightly induced by stress].

Suitable abiotic stress-inducible promoters include, but not limited to, salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al., Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such as maize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266, 1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295, 1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol. 39:373-380, 1999); heat-inducible promoters such as heat tomato hsp80-promoter from tomato (U.S. Pat. No. 5,187,267).

The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication. According to some embodiments of the invention, the nucleic acid construct utilized is a shuttle vector, which can propagate both in E. coli (wherein the construct comprises an appropriate selectable marker and origin of replication) and be compatible with propagation in cells. The construct according to the present invention can be, for example, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus or an artificial chromosome.

The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.

There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev. Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).

The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:

(i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.

(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.

The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.

There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.

Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. Therefore, it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.

Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. This process permits the mass reproduction of plants having the preferred tissue expressing the fusion protein. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.

Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced from the seedlings to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants' tolerance to light is gradually increased so that it can be grown in the natural environment.

According to some embodiments of the invention, the transgenic plants are generated by transient transformation of leaf cells, meristematic cells or the whole plant.

Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses.

Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261.

According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992), Atreya et al. (1992) and Huet et al. (1994).

Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Taylor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.

Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al., Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.

When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat protein which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.

In one embodiment, a plant viral polynucleotide is provided in which the native coat protein coding sequence has been deleted from a viral polynucleotide, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral polynucleotide, and ensuring a systemic infection of the host by the recombinant plant viral polynucleotide, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native polynucleotide sequence within it, such that a protein is produced. The recombinant plant viral polynucleotide may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or polynucleotide sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) polynucleotide sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one polynucleotide sequence is included. The non-native polynucleotide sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.

In a second embodiment, a recombinant plant viral polynucleotide is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.

In a third embodiment, a recombinant plant viral polynucleotide is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral polynucleotide. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native polynucleotide sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.

In a fourth embodiment, a recombinant plant viral polynucleotide is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.

The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral polynucleotide to produce a recombinant plant virus. The recombinant plant viral polynucleotide or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral polynucleotide is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (exogenous polynucleotide) in the host to produce the desired protein.

Techniques for inoculation of viruses to plants may be found in Foster and Taylor, eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods in Virology” 7 vols, Academic Press, New York 1967-1984; Hill, S. A. “Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D. G. A. “Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa, eds. “Principles and Techniques in Plant Virology”, Van Nostrand-Reinhold, New York.

In addition to the above, the polynucleotide of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.

A technique for introducing exogenous polynucleotide sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous polynucleotide is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous polynucleotide molecule into the chloroplasts. The exogenous polynucleotides selected such that it is integratable into the chloroplast's genome via homologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous polynucleotide includes, in addition to a gene of interest, at least one polynucleotide stretch which is derived from the chloroplast's genome. In addition, the exogenous polynucleotide includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous polynucleotide. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference. A polypeptide can thus be produced by the protein expression system of the chloroplast and become integrated into the chloroplast's inner membrane.

According to some embodiments, there is provided a method of improving yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, water use efficiency and/or abiotic stress tolerance of a grafted plant, the method comprising providing a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 or 8164 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164 (e.g., in a constitutive, tissue specific or inducible, e.g., in an abiotic stress responsive manner), thereby improving the nitrogen use efficiency, yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the grafted plant.

In some embodiments, the plant scion is non-transgenic.

Several embodiments relate to a grafted plant exhibiting improved nitrogen use efficiency, yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, comprising a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 or 8164, and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164.

In some embodiments, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164 in a stress responsive manner.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804.

According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide selected from the group consisting of SEQ ID NOs: 1-473, 761-4804 and 4805.

Since processes which increase yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, water use efficiency and/or abiotic stress tolerance of a plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the present invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance.

Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. To enable co-translation of the different polypeptides encoded by the polycistronic messenger RNA, the polynucleotide sequences can be inter-linked via an internal ribosome entry site (IRES) sequence which facilitates translation of polynucleotide sequences positioned downstream of the IRES sequence. In this case, a transcribed polycistronic RNA molecule encoding the different polypeptides described above will be translated from both the capped 5′ end and the two internal IRES sequences of the polycistronic RNA molecule to thereby produce in the cell all different polypeptides. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.

The plant cell transformed with the construct including a plurality of different exogenous polynucleotides, can be regenerated into a mature plant, using the methods described hereinabove.

Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior abiotic stress tolerance, water use efficiency, fertilizer use efficiency, growth, biomass, yield and/or vigor traits, using conventional plant breeding techniques.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.

Non-limiting examples of abiotic stress conditions include, salinity, osmotic stress, drought, water deprivation, excess of water (e.g., flood, waterlogging), etiolation, low temperature (e.g., cold stress), high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or nitrogen limitation), nutrient excess, atmospheric pollution and UV irradiation.

According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under fertilizer limiting conditions (e.g., nitrogen-limiting conditions). Non-limiting examples include growing the plant on soils with low nitrogen content (40-50% Nitrogen of the content present under normal or optimal conditions), or even under sever nitrogen deficiency (0-10% Nitrogen of the content present under normal or optimal conditions, wherein the normal or optimal conditions include about 6-15 mM Nitrogen, e.g., 6-10 mM Nitrogen).

Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs and/or polypeptide(s) of the invention.

Once expressed within the plant cell or the entire plant, the level of the polypeptide encoded by the exogenous polynucleotide can be determined by methods well known in the art such as, activity assays, Western blots using antibodies capable of specifically binding the polypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA), radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry, immunofluorescence and the like.

Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.

The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., biomass, growth rate, oil content, yield, abiotic stress tolerance, water use efficiency, nitrogen use efficiency and/or fertilizer use efficiency). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, polymorphism of the encoded polypeptide and any other polymorphism at the DNA or RNA sequence.

Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins); selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).

The polynucleotides and polypeptides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.

Plant lines exogenously expressing the polynucleotide or the polypeptide of the invention are screened to identify those that show the greatest increase of the desired plant trait.

Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct of some embodiments of the invention; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type (e.g., a plant not transformed with the claimed biomolecules); thereby evaluating the trait of the plant.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164, wherein the plant is derived from a plant (parent plant) that has been transformed to express the exogenous polynucleotide and that has been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide encoding a polypeptide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs:1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804, wherein the plant is derived from a plant selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.

According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 and 4804, wherein the crop plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-473, 761-4804 and 4805.

According to an aspect of some embodiments of the invention there is provided a method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with the exogenous polynucleotide of the invention, e.g., the polynucleotide which encodes the polypeptide of some embodiments of the invention, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 474-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 474-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and 8164.

According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising the nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 1-170, 172-267, 269-424, 426-473, 761-2486, 2489-2494, 2496-4803 or 4804, wherein the plant is derived from plants which have been transformed with the exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased harvest index, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.

According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-473, 761-4804 and 4805.

The effect of the transgene (the exogenous polynucleotide encoding the polypeptide) on abiotic stress tolerance can be determined using known methods such as detailed below and in the Examples section which follows.

Abiotic stress tolerance—Transformed (i.e., expressing the transgene) and non-transformed (wild type) plants are exposed to an abiotic stress condition, such as water deprivation, suboptimal temperature (low temperature, high temperature), nutrient deficiency, nutrient excess, a salt stress condition, osmotic stress, heavy metal toxicity, anaerobiosis, atmospheric pollution and UV irradiation.

Salinity tolerance assay—Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium)]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).

For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of wilting and overall success to reach maturity and yield progeny are compared between control and transgenic plants.

Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.

Osmotic tolerance test—Osmotic stress assays (including sodium chloride and mannitol assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress germination experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.

Drought tolerance assay/Osmoticum assay—Tolerance to drought is performed to identify the genes conferring better plant survival after acute water deprivation. To analyze whether the transgenic plants are more tolerant to drought, an osmotic stress produced by the non-ionic osmolyte sorbitol in the medium can be performed. Control and transgenic plants are germinated and grown in plant-agar plates for 4 days, after which they are transferred to plates containing 500 mM sorbitol. The treatment causes growth retardation, then both control and transgenic plants are compared, by measuring plant weight (wet and dry), yield, and by growth rates measured as time to flowering.

Conversely, soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing the polypeptide of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased accompanied by placing the pots on absorbent paper to enhance the soil-drying rate. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering.

Cold stress tolerance—To analyze cold stress, mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between both control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.

Heat stress tolerance—Heat stress tolerance is achieved by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.

Water use efficiency—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content can be measured in control and transgenic plants. Fresh weight (FW) is immediately recorded; then leaves are soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) is recorded. Total dry weight (DW) is recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to the following Formula I:

RWC=[(FW−DW)/(TW−DW)]×100  Formula I

Fertilizer use efficiency—To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Yanagisawa et al (Proc Natl Acad Sci USA. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.

Nitrogen use efficiency—To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.

Nitrogen Use efficiency assay using plantlets—The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dof1 transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH₄NO₃ and KNO₃) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control.

Nitrogen determination—The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO₃ ⁻ (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd⁻ mediated reduction of NO₃ ⁻ to NO₂ ⁻ (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO₂. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.

Germination tests—Germination tests compare the percentage of seeds from transgenic plants that could complete the germination process to the percentage of seeds from control plants that are treated in the same manner. Normal conditions are considered for example, incubations at 22° C. under 22-hour light 2-hour dark daily cycles. Evaluation of germination and seedling vigor is conducted between 4 and 14 days after planting. The basal media is 50% MS medium (Murashige and Skoog, 1962 Plant Physiology 15, 473-497).

Germination is checked also at unfavorable conditions such as cold (incubating at temperatures lower than 10° C. instead of 22° C.) or using seed inhibition solutions that contain high concentrations of an osmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrations of salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).

The effect of the transgene on plant's vigor, growth rate, biomass, yield and/or oil content can be determined using known methods.

Plant vigor—The plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.

Growth rate—The growth rate can be measured using digital analysis of growing plants. For example, images of plants growing in greenhouse on plot basis can be captured every 3 days and the rosette area can be calculated by digital analysis. Rosette area growth is calculated using the difference of rosette area between days of sampling divided by the difference in days between samples.

Evaluation of growth rate can be done by measuring plant biomass produced, rosette area, leaf size or root length per time (can be measured in cm² per day of leaf area).

Relative growth area can be calculated using Formula II.

Relative growth rate area=Regression coefficient of area along time course.  Formula II:

Thus, the relative growth area rate is in units of area units (e.g., mm²/day or cm²/day) and the relative length growth rate is in units of length units (e.g., cm/day or mm/day).

For example, RGR can be determined for plant height (Formula III), SPAD (Formula IV), Number of tillers (Formula V), root length (Formula VI), vegetative growth (Formula VII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI), leaf blade area (Formula XII), and leaf area (Formula XIII)

Relative growth rate of Plant height=Regression coefficient of Plant height along time course (measured in cm/day).  Formula III:

Relative growth rate of SPAD=Regression coefficient of SPAD measurements along time course.  Formula IV:

Relative growth rate of Number of tillers=Regression coefficient of Number of tillers along time course (measured in units of “number of tillers/day”).  Formula V:

Relative growth rate of root length=Regression coefficient of root length along time course (measured in cm per day).  Formula VI:

Vegetative growth rate analysis—was calculated according to Formula VII below.

Relative growth rate of vegetative growth=Regression coefficient of vegetative dry weight along time course (measured in grams per day).  Formula VII:

Relative growth rate of leaf number=Regression coefficient of leaf number along time course (measured in number per day).  Formula VIII:

Relative growth rate of rosette area=Regression coefficient of rosette area along time course (measured in cm² per day).  Formula IX:

Relative growth rate of rosette diameter=Regression coefficient of rosette diameter along time course (measured in cm per day).  Formula X:

Relative growth rate of plot coverage=Regression coefficient of plot (measured in cm² per day).  Formula XI:

Relative growth rate of leaf blade area=Regression coefficient of leaf area along time course (measured in cm² per day).  Formula XII:

Relative growth rate of leaf area=Regression coefficient of leaf area along time course (measured in cm² per day).  Formula XIII:

1000 Seed Weight=number of seed in sample/sample weight×1000  Formula XIV:

The Harvest Index can be calculated using Formulas XV, XVI, XVII, XVIII and LXV below.

Harvest Index (seed)=Average seed yield per plant/Average dry weight.  Formula XV:

Harvest Index (Sorghum)=Average grain dry weight per Head/(Average vegetative dry weight per Head+Average Head dry weight)  Formula XVI:

Formula XVII: Harvest Index (Maize)=Average grain weight per plant/(Average vegetative dry weight per plant plus Average grain weight per plant)

Harvest Index (for barley)—The harvest index is calculated using Formula XVIII.

Harvest Index (for barley and wheat)=Average spike dry weight per plant/(Average vegetative dry weight per plant+Average spike dry weight per plant)  Formula XVIII:

Following is a non-limited list of additional parameters which can be detected in order to show the effect of the transgene on the desired plant's traits:

Grain circularity=4×3.14 (grain area/perimeter²)  Formula XIX:

Internode volume=3.14×(d/2)²×1  Formula XX:

Total dry matter (kg)=Normalized head weight per plant+vegetative dry weight.  Formula XXI:

Root/Shoot Ratio=total weight of the root at harvest/total weight of the vegetative portion above ground at harvest. (=RBiH/BiH)  Formula XXII:

Ratio of the number of pods per node on main stem at pod set=Total number of pods on main stem/Total number of nodes on main stem.  Formula XXIII:

Ratio of total number of seeds in main stem to number of seeds on lateral branches=Total number of seeds on main stem at pod set/Total number of seeds on lateral branches at pod set.  Formula XXIV:

Petiole Relative Area=(Petiole area)/Rosette area (measured in %).  Formula XXV:

% reproductive tiller percentage=Number of Reproductive tillers/number of tillers)×100.  Formula XXVI:

Spikes Index=Average Spikes weight per plant/(Average vegetative dry weight per plant plus Average Spikes weight per plant).  Formula XXVII:

Relative growth rate of root coverage=Regression coefficient of root coverage along time course.  Formula XXVIII:

Seed Oil yield=Seed yield per plant (gr.)*Oil % in seed.  Formula XXIX:

shoot/root Ratio=total weight of the vegetative portion above ground at harvest/total weight of the root at harvest.  Formula XXX:

Spikelets Index=Average Spikelets weight per plant/(Average vegetative dry weight per plant plus Average Spikelets weight per plant).  Formula XXXI:

% Canopy coverage=(1−(PAR_DOWN/PAR_UP))×100 measured using AccuPAR Ceptometer Model LP-80.  Formula XXXII:

leaf mass fraction=Leaf area/shoot FW.  Formula XXXIII:

Relative growth rate based on dry weight=Regression coefficient of dry weight along time course.  Formula XXXIV:

Dry matter partitioning (ratio)—At the end of the growing period 6 plants heads as well as the rest of the plot heads were collected, threshed and grains were weighted to obtain grains yield per plot. Dry matter partitioning was calculated by dividing grains yield per plot to vegetative dry weight per plot.  Formula XXXV:

1000 grain weight filling rate (gr/day)—The rate of grain filling was calculated by dividing 1000 grain weight by grain fill duration.  Formula XXXVI:

Specific leaf area (cm²/gr)—Leaves were scanned to obtain leaf area per plant, and then were dried in an oven to obtain the leaves dry weight. Specific leaf area was calculated by dividing the leaf area by leaf dry weight.  Formula XXXVII:

Vegetative dry weight per plant at flowering/water until flowering (gr/lit)—Calculated by dividing vegetative dry weight (excluding roots and reproductive organs) per plant at flowering by the water used for irrigation up to flowering.  Formula XXXVIII:

Yield filling rate (gr/day)—The rate of grain filling was calculated by dividing grains Yield by grain fill duration.  Formula XXXIX:

Yield per dunam/water until tan (kg/lit)—Calculated by dividing Grains yield per dunam by water used for irrigation until tan.  Formula XXXX:

Yield per plant/water until tan (gr/lit)—Calculated by dividing Grains yield per plant by water used for irrigation until tan.  Formula XXXXI:

Yield per dunam/water until maturity (gr/lit)—Calculated by dividing grains yield per dunam by the water used for irrigation up to maturity.  Formula XXXXII:

Vegetative dry weight per plant/water until maturity (gr/lit): Calculated by dividing vegetative dry weight per plant (excluding roots and reproductive organs) at harvest by the water used for irrigation up to maturity.  Formula XXXXIII:

Total dry matter per plant/water until maturity (gr/lit): Calculated by dividing total dry matter at harvest (vegetative and reproductive, excluding roots) per plant by the water used for irrigation up to maturity.  Formula XXXXIV:

Total dry matter per plant/water until maturity (gr/lit): Calculated by dividing total dry matter at flowering (vegetative and reproductive, excluding roots) per plant by the water used for irrigation up to flowering.  Formula XXXXV:

Heads index (ratio): Average heads weight/(Average vegetative dry weight per plant plus Average heads weight per plant).  Formula XXXXVI:

Yield/SPAD (kg/SPAD units)—Calculated by dividing grains yield by average SPAD measurements per plot.  Formula XXXXVII:

Stem water content (percentage)—stems were collected and fresh weight (FW) was weighted. Then the stems were oven dry and dry weight (DW) was recorded. Stems dry weight was divided by stems fresh weight, subtracted from 1 and multiplied by 100.  Formula XXXXVIII:

Leaf water content (percentage)—Leaves were collected and fresh weight (FW) was weighted. Then the leaves were oven dry and dry weight (DW) was recorded. Leaves dry weight was divided by leaves fresh weight, subtracted from 1 and multiplied by 100.  Formula XXXXIX:

stem volume (cm̂3)—The average stem volume was calculated by multiplying the average stem length by (3.14*((mean lower and upper stem width)/2)̂2).  Formula L:

NUE—is the ratio between total grain yield per total nitrogen (applied+content) in soil.  Formula LI:

NUpE—Is the ratio between total plant N content per total N (applied+content) in soil.  Formula LII:

Total NUtE—Is the ratio between total dry matter per N content of total dry matter.  Formula LIII:

Stem density—is the ratio between internode dry weight and internode volume.  Formula LIV:

Grain NUtE—Is the ratio between grain yield per N content of total dry matter  Formula LV:

N harvest index (Ratio)—Is the ratio between nitrogen content in grain per plant and the nitrogen of whole plant at harvest.  Formula LVI:

Biomass production efficiency—is the ratio between plant biomass and total shoot N.  Formula LVH:

Harvest index (plot) (ratio)—Average seed yield per plot/Average dry weight per plot.  Formula LVIII:

Relative growth rate of petiole relative area—Regression coefficient of petiole realtive area along time course (measured in cm2 per day).  Formula LIX:

Yield per spike filling rate (gr/day)—spike filling rate was calculated by dividing grains yield per spike to grain fill duration.  Formula LX:

Yield per micro plots filling rate (gr/day)—micro plots fiiling rate was calculated by dividing grains yield per micro plots to grain fill duration.  Formula LXI:

Grains yield per hectare [ton/ha]—all spikes per plot were harvested threshed and grains were weighted after sun dry. The resulting value was divided by the number of square meters and multiplied by 10,000 (10,000 square meters=1 hectare).  Formula LXII:

Total dry matter (for Maize)=Normalized ear weight per plant+vegetative dry weight.  Formula LXIII:

$\begin{matrix} {{{Agronomical}\mspace{14mu} {NUE}} = \frac{\begin{matrix} {{{Yield}\mspace{14mu} {per}\mspace{14mu} {plant}\mspace{14mu} \left( {{Kg}.} \right)^{X\mspace{14mu} {Nitrogen}\mspace{14mu} {Fertilization}}} -} \\ {{Yield}\mspace{14mu} {per}\mspace{14mu} {plant}\mspace{14mu} {({Kg}).^{0\% \mspace{14mu} {Nitrogen}\mspace{14mu} {Fertilization}}}} \end{matrix}}{{Fertilizer}^{X}}} & {{Formula}\mspace{20mu} {LXIV}} \end{matrix}$ Harvest Index (brachypodium)=Average grain weight/average dry (vegetative+spikelet) weight per plant.  Formula LXV:

Harvest Index for Sorghum* (* when the plants were not dried)=FW (fresh weight) Heads/(FW Heads+FW Plants)  Formula LXVI:

Grain protein concentration—Grain protein content (g grain protein m⁻²) is estimated as the product of the mass of grain N (g grain N m⁻²) multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990, supra). The grain protein concentration is estimated as the ratio of grain protein content per unit mass of the grain (g grain protein kg⁻¹ grain).

Fiber length—Fiber length can be measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point (cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length).

According to some embodiments of the invention, increased yield of corn may be manifested as one or more of the following: increase in the number of plants per growing area, increase in the number of ears per plant, increase in the number of rows per ear, number of kernels per ear row, kernel weight, thousand kernel weight (1000-weight), ear length/diameter, increase oil content per kernel and increase starch content per kernel.

As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000-weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of canola may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Increased yield of cotton may be manifested by an increase in one or more of the following: number of plants per growing area, number of bolls per plant, number of seeds per boll, increase in the seed filling rate, increase in thousand seed weight (1000-weight), increase oil content per seed, improve fiber length, fiber strength, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.

Oil content—The oil content of a plant can be determined by extraction of the oil from the seed or the vegetative portion of the plant. Briefly, lipids (oil) can be removed from the plant (e.g., seed) by grinding the plant tissue in the presence of specific solvents (e.g., hexane or petroleum ether) and extracting the oil in a continuous extractor. Indirect oil content analysis can be carried out using various known methods such as Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway T F. and Earle F R., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)]; the Near Infrared (NI) Spectroscopy, which utilizes the absorption of near infrared energy (1100-2500 nm) by the sample; and a method described in WO/2001/023884, which is based on extracting oil a solvent, evaporating the solvent in a gas stream which forms oil particles, and directing a light into the gas stream and oil particles which forms a detectable reflected light.

Thus, the present invention is of high agricultural value for promoting the yield of commercially desired crops (e.g., biomass of vegetative organ such as poplar wood, or reproductive organ such as number of seeds or seed biomass).

Any of the transgenic plants described hereinabove or parts thereof may be processed to produce a feed, meal, protein or oil preparation, such as for ruminant animals.

The transgenic plants described hereinabove, which exhibit an increased oil content can be used to produce plant oil (by extracting the oil from the plant).

The plant oil (including the seed oil and/or the vegetative portion oil) produced according to the method of the invention may be combined with a variety of other ingredients. The specific ingredients included in a product are determined according to the intended use. Exemplary products include animal feed, raw material for chemical modification, biodegradable plastic, blended food product, edible oil, biofuel, cooking oil, lubricant, biodiesel, snack food, cosmetics, and fermentation process raw material. Exemplary products to be incorporated to the plant oil include animal feeds, human food products such as extruded snack foods, breads, as a food binding agent, aquaculture feeds, fermentable mixtures, food supplements, sport drinks, nutritional food bars, multi-vitamin supplements, diet drinks, and cereal foods. According to some embodiments of the invention, the oil comprises a seed oil.

According to some embodiments of the invention, the oil comprises a vegetative portion oil (oil of the vegetative portion of the plant).

According to some embodiments of the invention, the plant cell forms a part of a plant.

According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.

As used herein the term “about” refers to ±10%.

The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.

The term “consisting of” means “including and limited to”.

The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.

As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.

Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.

Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.

As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.

When reference is made to particular sequence listings, such reference is to be understood to also encompass sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides.

It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.

Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.

EXAMPLES

Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.

Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategies for Protein Purification and Characterization—A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.

General Experimental and Bioinformatics Methods

RNA extraction—Tissues growing at various growth conditions (as described below) were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [invitrogen(dot)com/content (dot)cfm?pageid=469]. Approximately 30-50 mg of tissue was taken from samples. The weighed tissues were ground using pestle and mortar in liquid nitrogen and resuspended in 500 μl of TRIzol Reagent. To the homogenized lysate, 100 μl of chloroform was added followed by precipitation using isopropanol and two washes with 75% ethanol. The RNA was eluted in 30 μl of RNase-free water. RNA samples were cleaned up using Qiagen's RNeasy minikit clean-up protocol as per the manufacturer's protocol (QIAGEN Inc, CA USA). For convenience, each micro-array expression information tissue type has received an expression Set ID.

Correlation analysis—was performed for selected genes according to some embodiments of the invention, in which the characterized parameters (measured parameters according to the correlation IDs) were used as “x axis” for correlation with the tissue transcriptome, which was used as the “Y axis”. For each gene and measured parameter a correlation coefficient “R” was calculated (using Pearson correlation) along with a p-value for the significance of the correlation. When the correlation coefficient (R) between the levels of a gene's expression in a certain tissue and a phenotypic performance across ecotypes/variety/hybrid is high in absolute value (between 0.5-1), there is an association between the gene (specifically the expression level of this gene) the phenotypic characteristic (e.g., improved yield, growth rate, nitrogen use efficiency, abiotic stress tolerance and the like).

Example 1 Identifying Genes which Improve Yield and Agronomical Important Traits in Plants

The present inventors have identified polynucleotides which expression thereof in plants can increase yield, fiber yield, fiber quality, photosynthetic capacity, growth rate, vigor, biomass, oil content, abiotic stress tolerance (ABST), fertilizer use efficiency (FUE) such as nitrogen use efficiency (NUE), and water use efficiency (WUE) of a plant, as follows.

All nucleotide sequence datasets used here were originated from publicly available databases or from performing sequencing using the Solexa technology (e.g. Barley and Sorghum). Sequence data from 100 different plant species was introduced into a single, comprehensive database. Other information on gene expression, protein annotation, enzymes and pathways were also incorporated.

Major databases used include:

-   -   Genomes     -   Arabidopsis genome [TAIR genome version 6         (arabidopsis(dot)org/)]     -   Rice genome [IRGSP build 4.0         (rgp(dot)dna(dot)affrc(dot)go(dot)jp/IRGSP/)].     -   Poplar [Populus trichocarpa release 1.1 from JGI (assembly         release v1.0) (genome(dot)jgi-psf(dot)org/)]     -   Brachypodium [JGI 4x assembly, brachpodium(dot)org)]     -   Soybean [DOE-JGI SCP, version Glyma0 (phytozome(dot)net/)]     -   Grape [French-Italian Public Consortium for Grapevine Genome         Characterization grapevine genome (genoscope(dot)cns(dot)fr/)]     -   Castobean [TIGR/J Craig Venter Institute 4x assembly         [msc(dot)jcvi(dot)org/r communis]     -   Sorghum [DOE-JGI SCP, version Sbil [phytozome(dot)net/)].     -   Partially assembled genome of Maize [maizesequence(dot)org/]

Expressed EST and mRNA Sequences were Extracted from the Following Databases:

-   -   GenBank (ncbi(dot)nlm(dot)nih(dot)gov/dbEST)     -   RefSeq (ncbi(dot)nlm(dot)nih(dot)gov/RefSeq/).     -   TAR (arabidopsis(dot)org/).

Protein and pathway databases

-   -   Uniprot [uniprot(dot)org/].     -   AraCyc [arabidopsis(dot)org/biocyc/index(dot)jsp].     -   ENZYME [expasy(dot)org/enzyme/].

Microarray datasets were downloaded from:

-   -   GEO (ncbi(dot)nlm.(dot)nih(dot)gov/geo/)     -   TAR (Arabidopsis(dot)org/).     -   Proprietary microarray data (WO2008/122980).

QTL and SNPs information

-   -   Gramene [gramene(dot)org/qt1/].     -   Panzea [panzea(dot)org/index(dot)html].

Database Assembly—was performed to build a wide, rich, reliable annotated and easy to analyze database comprised of publicly available genomic mRNA, ESTs DNA sequences, data from various crops as well as gene expression, protein annotation and pathway data QTLs, and other relevant information.

Database assembly is comprised of a toolbox of gene refining, structuring, annotation and analysis tools enabling to construct a tailored database for each gene discovery project. Gene refining and structuring tools enable to reliably detect splice variants and antisense transcripts, generating understanding of various potential phenotypic outcomes of a single gene. The capabilities of the “LEADS” platform of Compugen LTD for analyzing human genome have been confirmed and accepted by the scientific community [see e.g., “Widespread Antisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21, 379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300 (5623), 1288-91; “Computational analysis of alternative splicing using EST tissue information”, Xie H et al. Genomics 2002], and have been proven most efficient in plant genomics as well.

EST clustering and gene assembly—For gene clustering and assembly of organisms with available genome sequence data (arabidopsis, rice, castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomic LEADS version (GANG) was employed. This tool allows most accurate clustering of ESTs and mRNA sequences on genome, and predicts gene structure as well as alternative splicing events and anti-sense transcription.

For organisms with no available full genome sequence data, “expressed LEADS” clustering software was applied.

Gene annotation—Predicted genes and proteins were annotated as follows:

Blast search [blast(dot)ncbi(dot)nlm(dot)nih(dot)gov/Blast(dot)cgi] against all plant UniProt [uniprot(dot)org/] sequences was performed. Open reading frames of each putative transcript were analyzed and longest ORF with higher number of homologues was selected as predicted protein of the transcript. The predicted proteins were analyzed by InterPro [ebi(dot)ac(dot)uk/interpro/].

Blast against proteins from AraCyc and ENZYME databases was used to map the predicted transcripts to AraCyc pathways.

Predicted proteins from different species were compared using blast algorithm [ncbi(dot)nlm(dot)nih(dot)gov/Blast(dot)cgi] to validate the accuracy of the predicted protein sequence, and for efficient detection of orthologs.

Gene expression profiling—Several data sources were exploited for gene expression profiling, namely microarray data and digital expression profile (see below). According to gene expression profile, a correlation analysis was performed to identify genes which are co-regulated under different development stages and environmental conditions and associated with different phenotypes.

Publicly available microarray datasets were downloaded from TAR and NCBI GEO sites, renormalized, and integrated into the database. Expression profiling is one of the most important resource data for identifying genes important for yield.

A digital expression profile summary was compiled for each cluster according to all keywords included in the sequence records comprising the cluster. Digital expression, also known as electronic Northern Blot, is a tool that displays virtual expression profile based on the EST sequences forming the gene cluster. The tool provides the expression profile of a cluster in terms of plant anatomy (e.g., the tissue/organ in which the gene is expressed), developmental stage (the developmental stages at which a gene can be found) and profile of treatment (provides the physiological conditions under which a gene is expressed such as drought, cold, pathogen infection, etc). Given a random distribution of ESTs in the different clusters, the digital expression provides a probability value that describes the probability of a cluster having a total of N ESTs to contain X ESTs from a certain collection of libraries. For the probability calculations, the following is taken into consideration: a) the number of ESTs in the cluster, b) the number of ESTs of the implicated and related libraries, c) the overall number of ESTs available representing the species. Thereby clusters with low probability values are highly enriched with ESTs from the group of libraries of interest indicating a specialized expression.

Recently, the accuracy of this system was demonstrated by Portnoy et al., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454 Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego, Calif. Transcriptomeic analysis, based on relative EST abundance in data was performed by 454 pyrosequencing of cDNA representing mRNA of the melon fruit. Fourteen double strand cDNA samples obtained from two genotypes, two fruit tissues (flesh and rind) and four developmental stages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences) of non-normalized and purified cDNA samples yielded 1,150,657 expressed sequence tags, that assembled into 67,477 unigenes (32,357 singletons and 35,120 contigs). Analysis of the data obtained against the Cucurbit Genomics Database [icugi(dot)org/] confirmed the accuracy of the sequencing and assembly. Expression patterns of selected genes fitted well their qRT-PCR data.

Overall, 220 genes (SEQ ID NOs: 1-473 for polynucleotides and SEQ ID NOs: 474-760 for polypeptides) were identified to have a major impact on plant yield, growth rate, photosynthetic capacity, vigor, biomass, growth rate, oil content, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and fertilizer use efficiency when expression thereof is increased in plants (e.g., in plants over-expressing the polynucleotides/polypeptides). The identified genes, their curated polynucleotide and polypeptide sequences, as well as their updated sequences according to GenBank database are summarized in Table 1, hereinbelow.

TABLE 1 Identified genes for increasing yield, growth rate, vigor, biomass, growth rate, oil content, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and fertilizer use efficiency of a plant Polyn. Polyp. Gene SEQ SEQ Name Organism/Cluster Name ID NO: ID NO: LYM1010 barley|10v2|BE411105 1 474 LYM1011 barley|10v2|BE421247 2 475 LYM1012 barley|10v2|BE456034 3 476 LYM1013 barley|10v2|BE601902 4 477 LYM1014 barley|10v2|BF621691 5 478 LYM1015 barley|10v2|BF625619 6 479 LYM1016 barley|12v1|AJ303113 7 480 LYM1017 barley|12v1|AJ460503 8 481 LYM1018 barley|12v1|AJ462240 9 482 LYM1019 barley|12v1|AJ462593 10 483 LYM1020 barley|12v1|AJ465036 11 484 LYM1021 barley|12v1|AJ472697 12 485 LYM1022 barley|12v1|AJ476944 13 486 LYM1023 barley|12v1|AV832509 14 487 LYM1024 barley|12v1|AV832821 15 488 LYM1025 barley|12v1|AV833067 16 489 LYM1026 barley|12v1|AV833535 17 490 LYM1027 barley|12v1|AV835246 18 491 LYM1028 barley|12v1|AV836250 19 492 LYM1029 barley|12v1|AV919419 20 493 LYM1030 barley|12v1|AV932314 21 494 LYM1031 barley|12v1|AV932367 22 495 LYM1032 barley|12v1|AV932518 23 496 LYM1033 barley|12v1|BE215699 24 497 LYM1034 barley|12v1|BE412462 25 498 LYM1035 barley|12v1|BE413472 26 499 LYM1036 barley|12v1|BE420953 27 500 LYM1037 barley|12v1|BE420982 28 501 LYM1038 barley|12v1|BE421696 29 502 LYM1040 barley|12v1|BE437999 30 503 LYM1041 barley|12v1|BE438048 31 504 LYM1042 barley|12v1|BF255185 32 505 LYM1043 barley|12v1|BF259663 33 506 LYM1044 barley|12v1|BF617642 34 507 LYM1046 barley|12v1|BF621200 35 508 LYM1047 barley|12v1|BF623265 36 509 LYM1048 barley|12v1|BF624214 37 510 LYM1049 barley|12v1|BF625372 38 511 LYM1051 barley|12v1|BG309076 39 512 LYM1052 barley|12v1|BG414431 40 513 LYM1053 barley|12v1|BI947802 41 514 LYM1054 barley|12v1|BI949533 42 515 LYM1055 barley|12v1|BI949678 43 516 LYM1056 barley|12v1|BI950318 44 517 LYM1057 barley|12v1|BI951064 45 518 LYM1058 barley|12v1|BI951865 46 519 LYM1059 barley|12v1|BI952771 47 520 LYM1060 barley|12v1|BI953477 48 521 LYM1061 barley|12v1|BI953521 49 522 LYM1062 barley|12v1|BI954539 50 523 LYM1063 barley|12v1|BI955576 51 524 LYM1064 barley|12v1|BI956170 52 525 LYM1065 barley|12v1|BI956211 53 526 LYM1066 barley|12v1|BJ448998 54 527 LYM1068 barley|12v1|BJ469847 55 528 LYM1069 barley|12v1|BLYCPPHSYS 56 529 LYM1070 barley|12v1|BQ465115 57 530 LYM1071 barley|12v1|BU990128 58 531 LYM1072 barley|12v1|BU991227 59 532 LYM1073 barley|12v1|CA023266 60 533 LYM1074 barley|12v1|CB875234 61 534 LYM1075 barley|12v1|CX627609 62 535 LYM1076 barley|12v1|DN160741 63 536 LYM1078 brachypodium|12v1|BRADI1G20385 64 537 LYM1079 brachypodium|12v1|BRADI1G23900 65 538 LYM1082 brachypodium|12v1|BRADI1G69180 66 539 LYM1084 brachypodium|12v1|BRADI1G78710 67 540 LYM1085 brachypodium|12v1|BRADI2G15900 68 541 LYM1086 brachypodium|12v1|BRADI2G21837 69 542 LYM1087 brachypodium|12v1|BRADI2G26280 70 543 LYM1088 brachypodium|12v1|BRADI2G41510T2 71 544 LYM1089 brachypodium|12v1|BRADI2G51480 72 545 LYM1090 brachypodium|12v1|BRADI2G56310 73 546 LYM1091 brachypodium|12v1|BRADI3G28720 74 547 LYM1092 brachypodium|12v1|BRADI3G45820 75 548 LYM1093 brachypodium|12v1|BRADI3G55550 76 549 LYM1094 brachypodium|12v1|BRADI4G01140 77 550 LYM1095 brachypodium|12v1|BRADI4G29320 78 551 LYM1096 brachypodium|12v1|BRADI4G29780 79 552 LYM1097 brachypodium|12v1|BRADI4G31900T2 80 553 LYM1098 brachypodium|12v1|BRADI5G13190 81 554 LYM1099 brachypodium|12v1|BRADI5G25760 82 555 LYM1100 foxtail_millet|11v3|EC612472 83 556 LYM1101 foxtail_millet|11v3|EC612946 84 557 LYM1102 foxtail_millet|11v3|GT091058 85 558 LYM1103 foxtail_millet|11v3|PHY7SI000771M 86 559 LYM1104 foxtail_millet|11v3|PHY7SI001398M 87 560 LYM1105 foxtail_millet|11v3|PHY7SI002608M 88 561 LYM1106 foxtail_millet|11v3|PHY7SI003001M 89 562 LYM1107 foxtail_millet|11v3|PHY7SI006370M 90 563 LYM1108 foxtail_millet|11v3|PHY7SI006690M 91 564 LYM1109 foxtail_millet|11v3|PHY7SI010388M 92 565 LYM1110 foxtail_millet|11v3|PHY7SI010853M 93 566 LYM1111 foxtail_millet|11v3|PHY7SI014287M 94 567 LYM1112 foxtail_millet|11v3|PHY7SI016985M 95 568 LYM1113 foxtail_millet|11v3|PHY7SI017913M 96 569 LYM1114 foxtail_millet|11v3|PHY7SI020310M 97 570 LYM1115 foxtail_millet|11v3|PHY7SI020693M 98 571 LYM1116 foxtail_millet|11v3|PHY7SI020984M 99 572 LYM1117 foxtail_millet|11v3|PHY7SI023427M 100 573 LYM1118 foxtail_millet|11v3|PHY7SI026065M 101 574 LYM1119 foxtail_millet|11v3|PHY7SI029337M 102 575 LYM1120 foxtail_millet|11v3|PHY7SI030030M 103 576 LYM1121 foxtail_millet|11v3|PHY7SI033845M 104 577 LYM1122 foxtail_millet|11v3|PHY7SI033950M 105 578 LYM1123 foxtail_millet|11v3|PHY7SI034443M 106 579 LYM1124 foxtail_millet|11v3|PHY7SI034927M 107 580 LYM1125 foxtail_millet|11v3|PHY7SI036157M 108 581 LYM1126 foxtail_millet|11v3|PHY7SI036407M 109 582 LYM1127 foxtail_millet|11v3|PHY7SI037176M 110 583 LYM1128 foxtail_millet|11v3|PHY7SI039767M 111 584 LYM1129 maize|10v1|AA054811 112 585 LYM1130 maize|10v1|AA979759 113 586 LYM1131 maize|10v1|AI001351 114 587 LYM1132 maize|10v1|AI396444 115 588 LYM1133 maize|10v1|AI600333 116 589 LYM1134 maize|10v1|AI621954 117 590 LYM1136 maize|10v1|AI666204 118 591 LYM1137 maize|10v1|AI770430 119 592 LYM1138 maize|10v1|AI770478 120 593 LYM1139 maize|10v1|AI855153 121 594 LYM1140 maize|10v1|AI901707 122 595 LYM1141 maize|10v1|AI920541 123 596 LYM1142 maize|10v1|AI941641 124 597 LYM1143 maize|10v1|AI947474 125 598 LYM1146 maize|10v1|AW017808 126 599 LYM1149 maize|10v1|AW171826 127 600 LYM1151 maize|10v1|AW313252 128 601 LYM1152 maize|10v1|AW438140 129 602 LYM1153 maize|10v1|AW498006 130 603 LYM1154 maize|10v1|AW499246 131 604 LYM1155 maize|10v1|AW566480 132 605 LYM1156 maize|10v1|AW600668 133 606 LYM1157 maize|10v1|BE056858 134 607 LYM1158 maize|10v1|BE511433 135 608 LYM1159 maize|10v1|BE640016 136 609 LYM1160 maize|10v1|BG320172 137 610 LYM1161 maize|10v1|BG320248 138 611 LYM1162 maize|10v1|BG354201 139 612 LYM1163 maize|10v1|BG462317 140 613 LYM1164 maize|10v1|BG833142 141 614 LYM1165 maize|10v1|BG836953 142 615 LYM1167 maize|10v1|BM073386 143 616 LYM1168 maize|10v1|BM074116 144 617 LYM1169 maize|10v1|BM336987 145 618 LYM1170 maize|10v1|BM379348 146 619 LYM1171 maize|10v1|BM498926 147 620 LYM1172 maize|10v1|BQ538346 148 621 LYM1173 maize|10v1|CA401866 149 622 LYM1174 maize|10v1|CD433365 150 623 LYM1175 maize|10v1|CD651832 151 624 LYM1176 maize|10v1|CD943536 152 625 LYM1177 maize|10v1|CD964979 153 626 LYM1178 maize|10v1|CF028527 154 627 LYM1179 maize|10v1|CF046250 155 628 LYM1180 maize|10v1|CF244711 156 629 LYM1181 maize|10v1|T15274 157 630 LYM1182 maize|10v1|T20342 158 631 LYM1183 maize|10v1|T20362 159 632 LYM1184 maize|gb170|AI586584 160 633 LYM1185 maize|gb170|AI967089 161 634 LYM1186 maize|gb170|AW267345 162 635 LYM1187 maize|gb170|CD997839 163 636 LYM1188 rice|11v1|AU065865 164 637 LYM1189 rice|11v1|AU093411 165 638 LYM1190 rice|11v1|AU172407 166 639 LYM1191 rice|11v1|BI805353 167 640 LYM1192 rice|11v1|BI806487 168 641 LYM1193 rice|11v1|BI812921 169 642 LYM1194 rice|11v1|CA762027 170 643 LYM1195 sorghum|12v1|AW677825 171 644 LYM1201 sorghum|12v1|SB01G005360 172 645 LYM1202 sorghum|12v1|SB01G006060 173 646 LYM1203 sorghum|12v1|SB01G023320 174 647 LYM1204 sorghum|12v1|SB01G046820 175 648 LYM1205 sorghum|12v1|SB02G005630 176 649 LYM1206 sorghum|12v1|SB02G028130 177 650 LYM1207 sorghum|12v1|SB03G011260 178 651 LYM1208 sorghum|12v1|SB03G012430 179 652 LYM1209 sorghum|12v1|SB03G043920 180 653 LYM1210 sorghum|12v1|SB06G030260 181 654 LYM1211 sorghum|12v1|SB09G006520 182 655 LYM1212 sorghum|12v1|SB09G019550 183 656 LYM1213 sorghum|12v1|SB09G026150 184 657 LYM1214 sorghum|12v1|SB10G006840 185 658 LYM1215 sorghum|13v2|JGIV2SB13002974 186 659 LYM1216 soybean|11v1|GLYMA03G35460 187 660 LYM1217 soybean|11v1|GLYMA06G11380 188 661 LYM1218 soybean|11v1|GLYMA07G03580 189 662 LYM1219 soybean|11v1|GLYMA08G19950 190 663 LYM1220 soybean|11v1|GLYMA09G32550 191 664 LYM1221 soybean|11v1|GLYMA13G09620 192 665 LYM1222 soybean|11v1|GLYMA13G17510 193 666 LYM1223 soybean|11v1|GLYMA13G21640 194 667 LYM1224 soybean|11v1|GLYMA13G39770 195 668 LYM1225 soybean|11v1|GLYMA18G52430 196 669 LYM1226 soybean|11v1|GLYMA19G28920 197 670 LYM1227 soybean|11v1|GLYMA20G36230 198 671 LYM1228 tomato|11v1|AA824906 199 672 LYM1229 tomato|11v1|AF153277 200 673 LYM1230 tomato|11v1|AW034456 201 674 LYM1231 tomato|11v1|AW617278 202 675 LYM1232 tomato|11v1|BG136313 203 676 LYM1233 tomato|11v1|BG734868 204 677 LYM1234 barley|12v1|BE420804 205 678 LYM1235 brachypodium|12v1|BRADI1G15290 206 679 LYM1236 brachypodium|12v1|BRADI5G10880 207 680 LYM1237 brachypodium|12v1|BRADI5G10920 208 681 LYM1239 sorghum|12v1|SB01G004200 209 682 LYM1240 tomato|11v1|AW154852 210 683 LYM1032_H1 wheat|12v3|CA635514 211 684 LYM1058_H4 maize|10v1|AI649819 212 685 LYM1059_H7 maize|10v1|AI977980 213 686 LYM1064_H5 rice|13v2|BE228289 214 687 LYM1076_H4 rice|11v1|CA755245 215 688 LYM1091_H5 maize|10v1|AW056217 216 689 LYM1101_H3 sorghum|12v1|SB09G025690 217 690 LYM1105_H2 sorghum|12v1|SB03G036770 218 691 LYM1164_H1 sorghum|12v1|SB02G009120 219 692 LYM1196 sorghum|12v1|CF480531 220 — LYM1019 barley|12v1|AJ462593 221 483 LYM1024 barley|12v1|AV832821 223 488 LYM1030 barley|12v1|AV932314 225 494 LYM1033 barley|12v1|BE215699 226 497 LYM1037 barley|12v1|BE420982 227 501 LYM1046 barley|12v1|BF621200 228 508 LYM1057 barley|12v1|BI951064 230 518 LYM1060 barley|12v1|BI953477 231 521 LYM1066 barley|12v1|BJ448998 232 527 LYM1078 brachypodium|12v1|BRADI1G20385 235 537 LYM1082 brachypodium|12v1|BRADI1G69180 236 539 LYM1086 brachypodium|12v1|BRADI2G21837 238 542 LYM1088 brachypodium|12v1|BRADI2G41510T2 239 544 LYM1096 brachypodium|12v1|BRADI4G29780 240 552 LYM1106 foxtail_millet|11v3|PHY7SI003001M 242 562 LYM1107 foxtail_millet|11v3|PHY7SI006370M 243 563 LYM1113 foxtail_millet|11v3|PHY7SI017913M 244 569 LYM1126 foxtail_millet|11v3|PHY7SI036407M 247 582 LYM1155 maize|10v1|AW566480 251 605 LYM1193 rice|11v1|BI812921 255 642 LYM1205 sorghum|12v1|SB02G005630 256 649 LYM1226 soybean|11v1|GLYMA19G28920 262 670 LYM1228 tomato|11v1|AA824906 263 672 LYM1076_H4 rice|11v1|CA755245 266 688 LYM1091_H5 maize|10v1|AW056217 267 689 LYM1022 barley|12v1|AJ476944 222 693 LYM1029 barley|12v1|AV919419 224 694 LYM1052 barley|12v1|BG414431 229 695 LYM1071 barley|12v1|BU990128 233 696 LYM1074 barley|12v1|CB875234 234 697 LYM1085 brachypodium|12v1|BRADI2G15900 237 698 LYM1098 brachypodium|12v1|BRADI5G13190 241 699 LYM1119 foxtail_millet|11v3|PHY7SI029337M 245 700 LYM1125 foxtail_millet|11v3|PHY7SI036157M 246 701 LYM1138 maize|10v1|AI770478 248 702 LYM1140 maize|10v1|AI901707 249 703 LYM1142 maize|10v1|AI941641 250 704 LYM1163 maize|10v1|BG462317 252 705 LYM1177 maize|10v1|CD964979 253 706 LYM1186 maize|gb170|AW267345 254 707 LYM1208 sorghum|12v1|SB03G012430 257 708 LYM1214 sorghum|12v1|SB10G006840 258 709 LYM1215 sorghum|12v1|SB12V1CRP024405 259 710 LYM1221 soybean|11v1|GLYMA13G09620 260 711 LYM1222 soybean|11v1|GLYMA13G17510 261 712 LYM1234 barley|12v1|BE420804 264 713 LYM1064_H5 rice|11v1|BE228289 265 714 LYM1195 sorghum|12v1|AW677825 268 — LYM1010 barley|10v2|BE411105 269 474 LYM1011 barley|10v2|BE421247 270 475 LYM1012 barley|10v2|BE456034 271 476 LYM1014 barley|10v2|BF621691 273 478 LYM1015 barley|10v2|BF625619 274 479 LYM1016 barley|12v1|AJ303113 275 480 LYM1017 barley|12v1|AJ460503 276 481 LYM1019 barley|12v1|AJ462593 278 483 LYM1021 barley|12v1|AJ472697 280 485 LYM1024 barley|12v1|AV832821 283 488 LYM1025 barley|12v1|AV833067 284 489 LYM1026 barley|12v1|AV833535 285 490 LYM1027 barley|12v1|AV835246 286 491 LYM1028 barley|12v1|AV836250 287 492 LYM1029 barley|12v1|AV919419 288 493 LYM1033 barley|12v1|BE215699 290 497 LYM1035 barley|12v1|BE413472 292 499 LYM1036 barley|12v1|BE420953 293 500 LYM1037 barley|12v1|BE420982 294 501 LYM1038 barley|12v1|BE421696 295 502 LYM1040 barley|12v1|BE437999 296 503 LYM1041 barley|12v1|BE438048 297 504 LYM1042 barley|12v1|BF255185 298 505 LYM1043 barley|12v1|BF259663 299 506 LYM1044 barley|12v1|BF617642 300 507 LYM1046 barley|12v1|BF621200 301 508 LYM1047 barley|12v1|BF623265 302 509 LYM1049 barley|12v1|BF625372 303 511 LYM1054 barley|12v1|BI949533 307 515 LYM1055 barley|12v1|BI949678 308 516 LYM1056 barley|12v1|BI950318 309 517 LYM1057 barley|12v1|BI951064 310 518 LYM1060 barley|12v1|BI953477 311 521 LYM1061 barley|12v1|BI953521 312 522 LYM1062 barley|12v1|BI954539 313 523 LYM1063 barley|12v1|BI955576 314 524 LYM1065 barley|12v1|BI956211 315 526 LYM1066 barley|12v1|BJ448998 316 527 LYM1068 barley|12v1|BJ469847 317 528 LYM1069 barley|12v1|BLYCPPHSYS 318 529 LYM1072 barley|12v1|BU991227 321 532 LYM1073 barley|12v1|CA023266 322 533 LYM1074 barley|12v1|CB875234 323 534 LYM1079 brachypodium|12v1|BRADI1G23900 326 538 LYM1082 brachypodium|12v1|BRADI1G69180 327 539 LYM1084 brachypodium|12v1|BRADI1G78710 328 540 LYM1087 brachypodium|12v1|BRADI2G26280 331 543 LYM1088 brachypodium|12v1|BRADI2G41510T2 332 544 LYM1089 brachypodium|12v1|BRADI2G51480 333 545 LYM1092 brachypodium|12v1|BRADI3G45820 335 548 LYM1093 brachypodium|12v1|BRADI3G55550 336 549 LYM1095 brachypodium|12v1|BRADI4G29320 338 551 LYM1096 brachypodium|12v1|BRADI4G29780 339 552 LYM1097 brachypodium|12v1|BRADI4G31900T2 340 553 LYM1099 brachypodium|12v1|BRADI5G25760 341 555 LYM1100 foxtail_millet|11v3|EC612472 342 556 LYM1102 foxtail_millet|11v3|GT091058 343 558 LYM1103 foxtail_millet|11v3|PHY7SI000771M 344 559 LYM1104 foxtail_millet|11v3|PHY7SI001398M 345 560 LYM1106 foxtail_millet|11v3|PHY7SI003001M 346 562 LYM1107 foxtail_millet|11v3|PHY7SI006370M 347 563 LYM1108 foxtail_millet|11v3|PHY7SI006690M 348 564 LYM1109 foxtail_millet|11v3|PHY7SI010388M 349 565 LYM1110 foxtail_millet|11v3|PHY7SI010853M 350 566 LYM1112 foxtail_millet|11v3|PHY7SI016985M 352 568 LYM1113 foxtail_millet|11v3|PHY7SI017913M 353 569 LYM1114 foxtail_millet|11v3|PHY7SI020310M 354 570 LYM1115 foxtail_millet|11v3|PHY7SI020693M 355 571 LYM1116 foxtail_millet|11v3|PHY7SI020984M 356 572 LYM1117 foxtail_millet|11v3|PHY7SI023427M 357 573 LYM1118 foxtail_millet|11v3|PHY7SI026065M 358 574 LYM1120 foxtail_millet|11v3|PHY7SI030030M 359 576 LYM1121 foxtail_millet|11v3|PHY7SI033845M 360 577 LYM1122 foxtail_millet|11v3|PHY7SI033950M 361 578 LYM1124 foxtail_millet|11v3|PHY7SI034927M 363 580 LYM1126 foxtail_millet|11v3|PHY7SI036407M 365 582 LYM1128 foxtail_millet|11v3|PHY7SI039767M 367 584 LYM1129 maize|10v1|AA054811 368 585 LYM1132 maize|10v1|AI396444 371 588 LYM1133 maize|10v1|AI600333 372 589 LYM1134 maize|10v1|AI621954 373 590 LYM1136 maize|10v1|AI666204 374 591 LYM1137 maize|10v1|AI770430 375 592 LYM1138 maize|10v1|AI770478 376 593 LYM1139 maize|10v1|AI855153 377 594 LYM1140 maize|10v1|AI901707 378 595 LYM1141 maize|10v1|AI920541 379 596 LYM1146 maize|10v1|AW017808 382 599 LYM1149 maize|10v1|AW171826 383 600 LYM1151 maize|10v1|AW313252 384 601 LYM1152 maize|10v1|AW438140 385 602 LYM1153 maize|10v1|AW498006 386 603 LYM1154 maize|10v1|AW499246 387 604 LYM1155 maize|10v1|AW566480 388 605 LYM1156 maize|10v1|AW600668 389 606 LYM1157 maize|10v1|BE056858 390 607 LYM1159 maize|10v1|BE640016 392 609 LYM1160 maize|10v1|BG320172 393 610 LYM1161 maize|10v1|BG320248 394 611 LYM1163 maize|10v1|BG462317 395 613 LYM1165 maize|10v1|BG836953 396 615 LYM1169 maize|10v1|BM336987 399 618 LYM1170 maize|10v1|BM379348 400 619 LYM1172 maize|10v1|BQ538346 402 621 LYM1174 maize|10v1|CD433365 404 623 LYM1175 maize|10v1|CD651832 405 624 LYM1178 maize|10v1|CF028527 408 627 LYM1179 maize|10v1|CF046250 409 628 LYM1180 maize|10v1|CF244711 410 629 LYM1181 maize|10v1|T15274 411 630 LYM1182 maize|10v1|T20342 412 631 LYM1183 maize|10v1|T20362 413 632 LYM1188 rice|11v1|AU065865 418 637 LYM1189 rice|11v1|AU093411 419 638 LYM1190 rice|11v1|AU172407 420 639 LYM1191 rice|11v1|BI805353 421 640 LYM1192 rice|11v1|BI806487 422 641 LYM1193 rice|11v1|BIS12921 423 642 LYM1194 rice|11v1|CA762027 424 643 LYM1195 sorghum|12v1|AW677825 425 644 LYM1201 sorghum|12v1|SB01G005360 426 645 LYM1202 sorghum|12v1|SB01G006060 427 646 LYM1206 sorghum|12v1|SB02G028130 431 650 LYM1207 sorghum|12v1|SB03G011260 432 651 LYM1208 sorghum|12v1|SB03G012430 433 652 LYM1209 sorghum|12v1|SB03G043920 434 653 LYM1210 sorghum|12v1|SB06G030260 435 654 LYM1211 sorghum|12v1|SB09G006520 436 655 LYM1212 sorghum|12v1|SB09G019550 437 656 LYM1213 sorghum|12v1|SB09G026150 438 657 LYM1214 sorghum|12v1|SB10G006840 439 658 LYM1215 sorghum|13v2|JGIV2SB13002974 440 659 LYM1216 soybean|11v1|GLYMA03G35460 441 660 LYM1217 soybean|11v1|GLYMA06G11380 442 661 LYM1218 soybean|11v1|GLYMA07G03580 443 662 LYM1219 soybean|11v1|GLYMA08G19950 444 663 LYM1220 soybean|11v1|GLYMA09G32550 445 664 LYM1221 soybean|11v1|GLYMA13G09620 446 665 LYM1223 soybean|11v1|GLYMA13G21640 447 667 LYM1224 soybean|11v1|GLYMA13G39770 448 668 LYM1225 soybean|11v1|GLYMA18G52430 449 669 LYM1226 soybean|11v1|GLYMA19G28920 450 670 LYM1227 soybean|11v1|GLYMA20G36230 451 671 LYM1228 tomato|11v1|AA824906 452 672 LYM1229 tomato|11v1|AF153277 453 673 LYM1230 tomato|11v1|AW034456 454 674 LYM1232 tomato|11v1|BG136313 456 676 LYM1233 tomato|11v1|BG734868 457 677 LYM1234 barley|12v1|BE420804 458 678 LYM1235 brachypodium|12v1|BRADI1G15290 459 679 LYM1239 sorghum|12v1|SB01G004200 462 682 LYM1058_H4 maize|10v1|AI649819 465 685 LYM1059_H7 maize|10v1|AI977980 466 686 LYM1064_H5 rice|13v2|BE228289 467 687 LYM1076_H4 rice|11v1|CA755245 468 688 LYM1091_H5 maize|10v1|AW056217 469 689 LYM1101_H3 sorghum|12v1|SB09G025690 470 690 LYM1105_H2 sorghum|12v1|SB03G036770 471 691 LYM1013 barley|10v2|BE601902 272 715 LYM1018 barley|12v1|AJ462240 277 716 LYM1020 barley|12v1|AJ465036 279 717 LYM1022 barley|12v1|AJ476944 281 718 LYM1023 barley|12v1|AV832509 282 719 LYM1030 barley|12v1|AV932314 289 720 LYM1034 barley|12v1|BE412462 291 721 LYM1051 barley|12v1|BG309076 304 722 LYM1052 barley|12v1|BG414431 305 723 LYM1053 barley|12v1|BI947802 306 724 LYM1070 barley|12v1|BQ465115 319 725 LYM1071 barley|12v1|BU990128 320 726 LYM1075 barley|12v1|CX627609 324 727 LYM1078 brachypodium|12v1|BRADI1G20385 325 728 LYM1085 brachypodium|12v1|BRADI2G15900 329 729 LYM1086 brachypodium|12v1|BRADI2G21837 330 730 LYM1090 brachypodium|12v1|BRADI2G56310 334 731 LYM1094 brachypodium|12v1|BRADI4G01140 337 732 LYM1111 foxtail_millet|11v3|PHY7SI014287M 351 733 LYM1123 foxtail_millet|11v3|PHY7SI034443M 362 734 LYM1125 foxtail_millet|11v3|PHY7SI036157M 364 735 LYM1127 foxtail_millet|11v3|PHY7SI037176M 366 736 LYM1130 maize|10v1|AA979759 369 737 LYM1131 maize|10v1|AI001351 370 738 LYM1142 maize|10v1|AI941641 380 739 LYM1143 maize|10v1|AI947474 381 740 LYM1158 maize|10v1|BE511433 391 741 LYM1167 maize|10v1|BM073386 397 742 LYM1168 maize|10v1|BM074116 398 743 LYM1171 maize|10v1|BM498926 401 744 LYM1173 maize|10v1|CA401866 403 745 LYM1176 maize|10v1|CD943536 406 746 LYM1177 maize|10v1|CD964979 407 747 LYM1184 maize|gb170|AI586584 414 748 LYM1185 maize|gb170|AI967089 415 749 LYM1186 maize|gb170|AW267345 416 750 LYM1187 maize|gb170|CD997839 417 751 LYM1203 sorghum|12v1|SB01G023320 428 752 LYM1204 sorghum|12v1|SB01G046820 429 753 LYM1205 sorghum|12v1|SB02G005630 430 754 LYM1231 tomato|11v1|AW617278 455 755 LYM1236 brachypodium|12v1|BRADI5G10880 460 756 LYM1237 brachypodium|12v1|BRADI5G10920 461 757 LYM1240 tomato|11v1|AW154852 463 758 LYM1032_H1 wheat|12v3|CA635514 464 759 LYM1164_H1 sorghum|12v1|SB02G009120 472 760 LYM1196 sorghum|12v1|CF480531 473 — Table 1: Provided are the identified genes, their annotation, organism and polynucleotide and polypeptide sequence identifiers, “polyn.” = polynucleotide; “polyp.” = polypeptide. Core genes SEQ ID NOs: 1-220 (polynucleotides) and 474-692 (polypeptides); variants and curated sequences SEQ ID NOs: 221-268 (polynucleotides); cloned sequences SEQ ID NOs: 269-473 (polynucleotides).

Example 2 Identification of Homologous Sequences that Increase Yield, Fiber Yield, Fiber Quality, Growth Rate, Biomass, Photosynthetic Capacity, Oil Content, Vigor, ABST, and/or NUE of a Plant

The concepts of orthology and paralogy have recently been applied to functional characterizations and classifications on the scale of whole-genome comparisons. Orthologs and paralogs constitute two major types of homologs: The first evolved from a common ancestor by specialization, and the latter are related by duplication events. It is assumed that paralogs arising from ancient duplication events are likely to have diverged in function while true orthologs are more likely to retain identical function over evolutionary time.

To further investigate and identify putative orthologs of the genes affecting plant yield, oil yield, oil content, seed yield, growth rate, photosynthetic capacity, vigor, biomass, abiotic stress tolerance, and fertilizer use efficiency (FUE) genes and/or nitrogen use efficiency, all sequences were aligned using the BLAST (Basic Local Alignment Search Tool). Sequences sufficiently similar were tentatively grouped. These putative orthologs were further organized under a Phylogram—a branching diagram (tree) assumed to be a representation of the evolutionary relationships among the biological taxa. Putative ortholog groups were analyzed as to their agreement with the phylogram and in cases of disagreements these ortholog groups were broken accordingly.

Expression data was analyzed and the EST libraries were classified using a fixed vocabulary of custom terms such as developmental stages (e.g., genes showing similar expression profile through development with up regulation at specific stage, such as at the seed filling stage) and/or plant organ (e.g., genes showing similar expression profile across their organs with up regulation at specific organs such as seed). The annotations from all the ESTs clustered to a gene were analyzed statistically by comparing their frequency in the cluster versus their abundance in the database, allowing the construction of a numeric and graphic expression profile of that gene, which is termed “digital expression”. The rationale of using these two complementary methods with methods of phenotypic association studies of QTLs, SNPs and phenotype expression correlation is based on the assumption that true orthologs are likely to retain identical function over evolutionary time. These methods provide different sets of indications on function similarities between two homologous genes, similarities in the sequence level -identical amino acids in the protein domains and similarity in expression profiles.

The search and identification of homologous genes involves the screening of sequence information available, for example, in public databases such as the DNA Database of Japan (DDBJ), Genbank, and the European Molecular Biology Laboratory Nucleic Acid Sequence Database (EMBL) or versions thereof or the MIPS database. A number of different search algorithms have been developed, including but not limited to the suite of programs referred to as BLAST programs. There are five implementations of BLAST, three designed for nucleotide sequence queries (BLASTN, BLASTX, and TBLASTX) and two designed for protein sequence queries (BLASTP and TBLASTN) (Coulson, Trends in Biotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543, 1997). Such methods involve alignment and comparison of sequences. The BLAST algorithm calculates percent sequence identity and performs a statistical analysis of the similarity between the two sequences. The software for performing BLAST analysis is publicly available through the National Centre for Biotechnology Information. Other such software or algorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm of Needleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find the alignment of two complete sequences that maximizes the number of matches and minimizes the number of gaps.

The homologous genes may belong to the same gene family. The analysis of a gene family may be carried out using sequence similarity analysis. To perform this analysis one may use standard programs for multiple alignments e.g. Clustal W. A neighbour-joining tree of the proteins homologous to the genes in this invention may be used to provide an overview of structural and ancestral relationships. Sequence identity may be calculated using an alignment program as described above. It is expected that other plants will carry a similar functional gene (ortholog) or a family of similar genes and those genes will provide the same preferred phenotype as the genes presented here. Advantageously, these family members may be useful in the methods of the invention. Example of other plants are included here but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsis thaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassica napus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum (Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus), Tomato (Lycopersicon esculentum), Wheat (Triticum aestivum).

The above-mentioned analyses for sequence homology can be carried out on a full-length sequence, but may also be based on a comparison of certain regions such as conserved domains. The identification of such domains, would also be well within the realm of the person skilled in the art and would involve, for example, a computer readable format of the nucleic acids of the present invention, the use of alignment software programs and the use of publicly available information on protein domains, conserved motifs and boxes. This information is available in the PRODOM (biochem(dot)ucl(dot)ac(dot)uk/bsm/dbbrowser/protocol/prodomqry(dot)html), PR (pir(dot)Georgetown(dot)edu/) or Pfam (sanger(dot)ac(dot)uk/Software/Pfam/) database. Sequence analysis programs designed for motif searching may be used for identification of fragments, regions and conserved domains as mentioned above. Preferred computer programs include, but are not limited to, MEME, SIGNALSCAN, and GENESCAN.

A person skilled in the art may use the homologous sequences provided herein to find similar sequences in other species and other organisms. Homologues of a protein encompass, peptides, oligopeptides, polypeptides, proteins and enzymes having amino acid substitutions, deletions and/or insertions relative to the unmodified protein in question and having similar biological and functional activity as the unmodified protein from which they are derived. To produce such homologues, amino acids of the protein may be replaced by other amino acids having similar properties (conservative changes, such as similar hydrophobicity, hydrophilicity, antigenicity, propensity to form or break a-helical structures or 3-sheet structures). Conservative substitution tables are well known in the art (see for example Creighton (1984) Proteins. W.H. Freeman and Company). Homologues of a nucleic acid encompass nucleic acids having nucleotide substitutions, deletions and/or insertions relative to the unmodified nucleic acid in question and having similar biological and functional activity as the unmodified nucleic acid from which they are derived.

Polynucleotides and polypeptides with significant homology to the identified genes described in Table 1 (Example 1 above) were identified from the databases using BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) was defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. The default filtering of the Blast package was not utilized (by setting the parameter “−F F”).

In the second stage, homologues were defined based on a global identity of at least 80% to the core gene polypeptide sequence. Two distinct forms for finding the optimal global alignment for protein or nucleotide sequences were used in this application:

1. Between two proteins (following the blastp filter): EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters were unchanged from the default options described hereinabove.

2. Between a protein sequence and a nucleotide sequence (following the tblastn filter): GenCore 6.0 OneModel application utilizing the Frame+algorithm with the following parameters: model=frame+_p2n.model mode=qglobal—q=protein. sequence—db=nucleotide.sequence. The rest of the parameters are unchanged from the default options described hereinabove.

The query polypeptide sequences were SEQ ID NOs: 474-760 (which are encoded by the polynucleotides SEQ ID NOs:1-473, shown in Table 1 above) and the identified orthologous and homologous sequences having at least 80% global sequence identity are provided in Table 2, below. These homologous genes are expected to increase plant yield, harvest index, seed yield, oil yield, oil content, photosynthetic capacity, growth rate, fiber yield, fiber quality, biomass, vigor, ABST and/or NUE of a plant.

TABLE 2 Homologues (e.g., orthologues) of the identified genes/polypeptides for increasing yield, harvest index, fiber yield, fiber quality, photosynthetic capacity, vigor, biomass, growth rate, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and fertilizer use efficiency of a plant P.N. P.P. Hom. to % SEQ SEQ SEQ global ID NO: Organism/cluster name ID NO: ID NO: iden. Algor. 761 wheat|12v3|CA499808 4806 474 97.7 globlastp 762 wheat|12v3|BE471040 4807 474 97.4 globlastp 763 rye|12v1|DRR001012.106525XX1 4808 474 96.62 glotblastn 764 leymus|gb166|EG374745_P1 4809 474 96.2 globlastp 765 brachypodium|12v1|BRADI1G24110_P1 4810 474 92.5 globlastp 766 oat|11v1|CN817559_P1 4811 474 89.1 globlastp 767 rice|11v1|BE229056 4812 474 81.7 globlastp 768 switchgrass|12v1|GD046483_P1 4813 474 81.2 globlastp 769 switchgrass|12v1|FE625606_P1 4814 474 81.2 globlastp 770 fescue|gb161|CK802813_P1 4815 474 81.1 globlastp 771 maize|10v1|W21719_P1 4816 474 80.8 globlastp 772 sorghum|12v1|SB07G001230 4817 474 80.8 globlastp 773 switchgrass|gb167|FE625606 4818 474 80.8 globlastp 774 wheat|12v3|BE429597 4819 475 94.8 globlastp 775 rye|12v1|DRR001012.100511 4820 475 92.8 globlastp 776 brachypodium|12v1|BRADI2G01570_P1 4821 475 90.5 globlastp 777 rye|12v1|DRR001012.163009 4822 475 88.4 globlastp 778 foxtail_millet|11v3|PHY7SI002189M_P1 4823 475 84.8 globlastp 779 sorghum|12v1|SB03G007820 4824 475 83.9 globlastp 780 millet|10v1|EVO454PM004211_P1 4825 475 83.6 globlastp 781 switchgrass|12v1|FL889709_P1 4826 475 83.3 globlastp 782 maize|10v1|AI855205_P1 4827 475 80.8 globlastp 783 wheat|12v3|BE418079 4828 476 95 globlastp 784 wheat|12v3|BE425779 4829 476 94.6 globlastp 785 pseudoroegneria|gb167|FF345940 4830 476 93.9 globlastp 786 leymus|gb166|EG390364_P1 4831 476 92.8 globlastp 787 rye|12v1|DRR001012.168093 4832 476 92.5 globlastp 788 oat|11v1|CN818992_P1 4833 476 92.1 globlastp 789 brachypodium|12v1|BRADI2G19260_P1 4834 476 89.3 globlastp 790 foxtail_millet|11v3|PHY7SI030773M_P1 4835 476 81 globlastp 791 rice|11v1|BI118706 4836 476 80.2 globlastp 792 switchgrass|12v1|DN145241_T1 4837 476 80.14 glotblastn 793 brachypodium|12v1|BRADI4G43490_P1 4838 477 85.1 globlastp 794 brachypodium|12v1|SRR031799.357353_P1 4839 477 80.6 globlastp 795 pseudoroegneria|gb167|FF343086 4840 478 93.9 globlastp 796 wheat|12v3|CA602363 4841 478 93.2 globlastp 797 leymus|gb166|EG390333_P1 4842 478 92.8 globlastp 798 rye|12v1|BF145224 4843 478 92.8 globlastp 799 rye|12v1|DRR001012.851131 4844 478 89.1 globlastp 800 oat|11v1|GO588158_P1 4845 478 84.6 globlastp 801 brachypodium|12v1|BRADI5G16540_P1 4846 478 81.7 globlastp 802 rye|12v1|DRR001012.15709 4847 479 99.5 globlastp 803 wheat|12v3|CA485262 4848 479 99.3 globlastp 804 wheat|12v3|CA682154 4849 479 99.3 globlastp 805 wheat|12v3|CA679154 4850 479 98.85 glotblastn 806 wheat|12v3|SRR073321X228577D1 4851 479 98.8 globlastp 807 oat|11v1|GO581612_P1 4852 479 96.1 globlastp 808 wheat|12v3|SRR400820X1013688D1 4853 479 94.7 globlastp 809 wheat|12v3|BJ232559 4854 479 92.4 globlastp 810 brachypodium|12v1|BRADI2G50850_P1 4855 479 91.8 globlastp 811 rice|11v1|AA753241 4856 479 90.3 globlastp 812 maize|10v1|AI714639_P1 4857 479 89.2 globlastp 813 foxtail_millet|11v3|PHY7SI001397M_P1 4858 479 88.8 globlastp 814 sorghum|12v1|SB03G035520 4859 479 88.7 globlastp 815 switchgrass|12v1|FL970432_P1 4860 479 88.3 globlastp 816 switchgrass|gb167|FL970431 4861 479 88.3 globlastp 817 millet|10v1|EVO454PM046432_P1 4862 479 88.1 globlastp 818 switchgrass|12v1|FL970431_P1 4863 479 87.9 globlastp 819 barley|12v1|BQ464462_T1 4864 479 87.3 glotblastn 820 millet|10v1|EVO454PM000736_P1 4865 479 86.8 globlastp 821 sorghum|12v1|SB03G035510 4866 479 85.7 globlastp 822 maize|10v1|AW091497_P1 4867 479 84.9 globlastp 823 switchgrass|gb167|DN150274 4868 479 84.4 globlastp 824 oil_palm|11v1|EL694748_T1 4869 479 83.49 glotblastn 825 monkeyflower|10v1|GR041261 4870 479 82.99 glotblastn 826 monkeyflower|12v1|SRR037227.103684_T1 4870 479 82.99 glotblastn 827 phalaenopsis|11v1|CK857490_T1 4871 479 82.99 glotblastn 828 grape|11v1|GSVIVT01000140001_T1 4872 479 82.95 glotblastn 829 clementine|11v1|CB293265_T1 4873 479 82.76 glotblastn 830 cotton|11v1|CO073391_T1 4874 479 82.76 glotblastn 831 gossypium_raimondii|12v1|DW507026_T1 4874 479 82.76 glotblastn 832 tragopogon|10v1|SRR020205S0003654 4875 479 82.76 glotblastn 833 oil_palm|11v1|EL691912_T1 4876 479 82.57 glotblastn 834 cirsium|11v1|SRR346952.1002551_T1 4877 479 82.53 glotblastn 835 cirsium|11v1|SRR346952.1002760_T1 4878 479 82.53 glotblastn 836 euphorbia|11v1|SRR098678X103708_T1 4879 479 82.53 glotblastn 837 soybean|11v1|GLYMA17G17530 4880 479 82.53 glotblastn 838 soybean|12v1|GLYMA17G17530_T1 4880 479 82.53 glotblastn 839 banana|12v1|FF561873_P1 4881 479 82.3 globlastp 840 flaveria|11v1|SRR149241.195133_T1 4882 479 82.3 glotblastn 841 lotus|09v1|AW720090_T1 4883 479 82.3 glotblastn 842 sunflower|12v1|EE626878 4884 479 82.3 glotblastn 843 valeriana|11v1|SRR099039X103437 4885 479 82.3 glotblastn 844 grape|11v1|GSVIVT01000137001_T1 4886 479 82.26 glotblastn 845 poplar|13v1|BI122805_T1 4887 479 82.26 glotblastn 846 phalaenopsis|11v1|SRR125771.1108919_T1 4888 479 82.11 glotblastn 847 ambrosia|11v1|SRR346935.119908_T1 4889 479 82.07 glotblastn 848 arnica|11v1|SRR099034X132803_T1 4890 479 82.07 glotblastn 849 artemisia|10v1|EY037648_T1 4891 479 82.07 glotblastn 850 kiwi|gb166|FG431561_T1 4892 479 82.07 glotblastn 851 sunflower|12v1|DY950884 4893 479 82.07 glotblastn 852 poplar|10v1|BI122805 4894 479 82.03 glotblastn 853 centaurea|11v1|SRR346938.10437_T1 4895 479 81.84 glotblastn 854 ambrosia|11v1|GW917919_T1 4896 479 81.84 glotblastn 855 amsonia|11v1|SRR098688X106652_T1 4897 479 81.84 glotblastn 856 cannabis|12v1|SOLX00011991_T1 4898 479 81.84 glotblastn 857 cassava|09v1|JGICASSAVA227VALIDM1_T1 4899 479 81.84 glotblastn 858 flaveria|11v1|SRR149229.142682_T1 4900 479 81.84 glotblastn 859 sesame|12v1|BU669477 4901 479 81.84 glotblastn 860 solanum_phureja|09v1|SPHBG126754 4902 479 81.84 glotblastn 861 tomato|11v1|BG126754 4903 479 81.84 glotblastn 862 centaurea|11v1|EH711693_T1 4904 479 81.84 glotblastn 863 centaurea|11v1|EH715630_T1 4905 479 81.61 glotblastn 864 chestnut|gb170|SRR006295S0010685_T1 4906 479 81.61 glotblastn 865 lettuce|12v1|DW067582_T1 4907 479 81.61 glotblastn 866 oak|10v1|CU656079_T1 4908 479 81.61 glotblastn 867 grape|11v1|GSVIVT01000135001_T1 4909 479 81.57 glotblastn 868 cirsium|11v1|SRR346952.103401_P1 4910 479 81.4 globlastp 869 oil_palm|11v1|GH636063_P1 4911 479 81.4 globlastp 870 flaveria|11v1|SRR149229.114389_P1 4912 479 81.3 globlastp 871 castorbean|12v1|EE255507_T1 4913 479 81.15 glotblastn 872 centaurea|gb166|EH711693 4914 479 81.15 glotblastn 873 nasturtium|11v1|SRR032559.69640_T1 4915 479 81.15 glotblastn 874 phyla|11v2|SRR099035X104507_T1 4916 479 80.96 glotblastn 875 prunus_mume|13v1|BU046122_T1 4917 479 80.92 glotblastn 876 arabidopsis_lyrata|09v1|JGIAL024200_T1 4918 479 80.92 glotblastn 877 arabidopsis|10v1|AT4G37550_T1 4919 479 80.92 glotblastn 878 flaveria|11v1|SRR149229.100158_T1 4920 479 80.92 glotblastn 879 orobanche|10v1|SRR023189S0081920_T1 4921 479 80.92 glotblastn 880 prunus|10v1|BU046122 4922 479 80.92 glotblastn 881 strawberry|11v1|GT149889 4923 479 80.92 glotblastn 882 thellungiella_halophilum|11v1|EHJGI11015175 4924 479 80.92 glotblastn 883 tripterygium|11v1|SRR098677X100344 4925 479 80.92 glotblastn 884 triphysaria|10v1|EY165587 4926 479 80.78 glotblastn 885 olea|13v1|SRR014463X1545D1_T1 4927 479 80.69 glotblastn 886 eucalyptus|11v2|ES592558_T1 4928 479 80.69 glotblastn 887 fagopyrum|11v1|SRR063703X115411_T1 4929 479 80.69 glotblastn 888 fraxinus|11v1|SRR058827.100115_T1 4930 479 80.69 glotblastn 889 medicago|12v1|AI974567_T1 4931 479 80.69 glotblastn 890 vinca|11v1|SRR098690X122826 4932 479 80.69 glotblastn 891 bean|12v2|SRR001335.439347_T1 4933 479 80.55 glotblastn 892 bean|12v1|SRR001335.439347 4934 479 80.55 glotblastn 893 olea|13v1|SRR014463X33113D1_T1 4935 479 80.46 glotblastn 894 b_rapa|11v1|CX192056_T1 4936 479 80.46 glotblastn 895 cichorium|gb171|EH675254_T1 4937 479 80.46 glotblastn 896 pigeonpea|11v1|SRR054580X10637_T1 4938 479 80.46 glotblastn 897 cacao|10v1|CU496860_P1 4939 479 80.3 globlastp 898 catharanthus|11v1|EG560157_T1 4940 479 80.23 glotblastn 899 fraxinus|11v1|SRR058827.112715_T1 4941 479 80.23 glotblastn 900 aquilegia|10v2|DR918379_T1 4942 479 80 glotblastn 901 wheat|12v3|BE604622 4943 480 97.6 globlastp 902 wheat|12v3|BJ304531 4944 480 95.2 globlastp 903 brachypodium|12v1|BRADI2G46650_P1 4945 480 93.1 globlastp 904 foxtail_millet|11v3|PHY7SI001146M_P1 4946 480 86.8 globlastp 905 maize|10v1|AW573435_P1 4947 480 85.7 globlastp 906 sorghum|12v1|SB03G044340 4948 480 85.7 globlastp 907 rice|11v1|BM421243 4949 480 85.5 globlastp 908 switchgrass|gb167|FL698463 4950 480 85.5 globlastp 909 switchgrass|12v1|FL860465_P1 4951 480 85.1 globlastp 910 rice|11v1|CA762920 4952 480 84.2 globlastp 911 sugarcane|10v1|CA120633 4953 480 83 globlastp 912 maize|10v1|CD528010_P1 4954 480 81.6 globlastp 913 rye|12v1|DRR001012.223257 4955 481 96.3 globlastp 914 wheat|12v3|CA719595 4956 481 96.3 globlastp 915 wheat|12v3|CA723603 4957 481 96.3 globlastp 916 wheat|12v3|CJ828308 4958 481 95.3 globlastp 917 fescue|gb161|DT689385_P1 4959 481 83.2 globlastp 918 oat|11v1|GR322552_P1 4960 481 83.2 globlastp 919 brachypodium|12v1|BRADI1G78480_P1 4961 483 94.1 globlastp 920 rye|12v1|DRR001013.132893 4962 483 93.4 globlastp 921 wheat|12v3|BE418676 4963 483 92.7 globlastp 922 foxtail_millet|11v3|PHY7SI036404M_P1 4964 483 91.1 globlastp 923 switchgrass|12v1|FL977110_P1 4965 483 90.1 globlastp 924 sorghum|12v1|SB01G050510 4966 483 90.1 globlastp 925 rice|11v1|CB211325 4967 483 89.44 glotblastn 926 millet|10v1|EVO454PM170482_P1 4968 483 89.4 globlastp 927 maize|10v1|BM075301_P1 4969 483 88.4 globlastp 928 rye|12v1|DRR001012.14520 4970 483 84.7 globlastp 929 rye|12v1|DRR001012.142059 4971 484 96.6 globlastp 930 brachypodium|12v1|BRADI2G18260_P1 4972 484 90.4 globlastp 931 sorghum|12v1|SB09G026970 4973 484 87.5 globlastp 932 maize|10v1|AI941555_P1 4974 484 87 globlastp 933 rice|11v1|AU175084 4975 484 87 globlastp 934 foxtail_millet|11v3|PHY7SI021450M_P1 4976 484 86.9 globlastp 935 switchgrass|12v1|FE601175_P1 4977 484 86.6 globlastp 936 switchgrass|gb167|FE601175 4978 484 86.4 glotblastn 937 wheat|12v3|BG263512 4979 484 84 globlastp 938 rye|12v1|DRR001012.107856 4980 485 95.4 globlastp 939 wheat|12v3|CD939313 4981 485 95.1 globlastp 940 leymus|gb166|EG376968_P1 4982 485 92.8 globlastp 941 rye|12v1|DRR001012.156292 4983 488 86.83 glotblastn 942 rye|12v1|DRR001012.109545 4984 489 98.65 glotblastn 943 rye|12v1|DRR001012.188810 4985 489 98.6 globlastp 944 wheat|12v3|BI751390 4986 489 98.3 globlastp 945 rye|12v1|DRR001017.1135370 4987 489 97.97 glotblastn 946 brachypodium|12v1|BRADI3G34090_P1 4988 489 92.2 globlastp 947 sorghum|12v1|SB01G028320 4989 489 89.9 globlastp 948 maize|10v1|T14791_P1 4990 489 88.9 globlastp 949 sugarcane|10v1|CA145253 4991 489 88.9 globlastp 950 switchgrass|gb167|DN142883 4992 489 88.2 globlastp 951 foxtail_millet|11v3|PHY7SI039140M_T1 4993 489 88.18 glotblastn 952 switchgrass|12v1|DN142883_P1 4994 489 87.5 globlastp 953 switchgrass|12v1|FE644344_P1 4995 489 87.5 globlastp 954 switchgrass|gb167|FE644344 4995 489 87.5 globlastp 955 switchgrass|12v1|FL734512_P1 4996 489 87.2 globlastp 956 rice|11v1|AA752933 4997 489 86.49 glotblastn 957 lovegrass|gb167|EH185476_T1 4998 489 86.15 glotblastn 958 switchgrass|12v1|JG798954_P1 4999 489 86.1 globlastp 959 wheat|12v3|BE398714 5000 490 89.6 globlastp 960 rye|12v1|DRR001012.170848 5001 490 88.83 glotblastn 961 rye|12v1|DRR001012.197116 5002 490 80.6 globlastp 962 rye|12v1|DRR001012.201741 5003 491 97 globlastp 963 wheat|12v3|CB307700 5004 491 92.1 globlastp 964 brachypodium|12v1|BRADI2G08826_T1 5005 491 87.19 glotblastn 965 foxtail_millet|11v3|PHY7SI000654M_P1 5006 491 86.2 globlastp 966 switchgrass|12v1|FL717129_P1 5007 491 86 globlastp 967 rice|11v1|AA749673 5008 491 85.8 globlastp 968 maize|10v1|AI941513_P1 5009 491 85.6 globlastp 969 sorghum|12v1|SB03G009530 5010 491 85.02 glotblastn 970 wheat|12v3|BE442783 5011 492 96.9 globlastp 971 wheat|12v3|CA655313 5012 492 96.9 globlastp 972 wheat|12v3|BE445444 5013 492 96.4 globlastp 973 rye|12v1|DRR001012.125087 5014 492 95.8 globlastp 974 rye|12v1|DRR001013.112923 5015 492 95.3 globlastp 975 rye|12v1|DRR001012.119920 5016 492 94.3 globlastp 976 oat|11v1|GR313287_P1 5017 492 86.5 globlastp 977 brachypodium|12v1|BRADI1G74470T2_P1 5018 492 84.4 globlastp 978 wheat|12v3|BM138140 5019 492 80.6 globlastp 979 rye|12v1|BE494195 5020 493 93.3 globlastp 980 wheat|12v3|CV771141 5021 493 93.3 globlastp 981 leymus|gb166|EG377531_P1 5022 493 86.4 globlastp 982 brachypodium|12v1|BRADI3G60477_P1 5023 494 85.1 globlastp 983 wheat|12v3|SRR043323X104913D1 5024 494 82.4 globlastp 984 wheat|12v3|SRR400820X153277D1 5025 495 83.58 glotblastn 985 rye|12v1|DRR001012.487346 5026 496 95.92 glotblastn 986 rye|12v1|DRR001012.145383 5027 496 94.9 glotblastn 987 oat|11v1|SRR020741.10036_T1 5028 496 80.61 glotblastn 988 oat|11v1|GR322199_T1 5029 496 80.58 glotblastn 989 wheat|12v3|BE591963 5030 497 89.3 globlastp 990 rye|12v1|DRR001012.422030 5031 497 84.2 globlastp 991 rye|12v1|DRR001012.48982 5032 499 84.1 globlastp 992 rye|12v1|DRR001013.302579 5033 499 81 globlastp 993 leymus|gb166|CN466083_P1 5034 500 89.6 globlastp 994 oat|11v1|CN817359_P1 5035 500 88.9 globlastp 995 wheat|12v3|BM135926 5036 500 88.4 globlastp 996 rye|12v1|DRR001012.123874 5037 500 85.6 globlastp 997 wheat|12v3|BE500186 5038 500 85.6 globlastp 998 wheat|12v3|CA608058 5039 500 85 globlastp 999 pseudoroegneria|gb167|FF357563 5040 500 84.9 globlastp 1000 rye|12v1|DRR001012.109036 5041 500 84.9 globlastp 1001 wheat|12v3|BG904763 5042 500 84.2 globlastp 1002 barley|12v1|BF267122_T1 5043 500 82.39 glotblastn 1003 pseudoroegneria|gb167|FF340148 501 501 100 globlastp 1004 rye|12v1|BE495303 5044 501 99.5 globlastp 1005 leymus|gb166|CD808585_P1 5045 501 99.1 globlastp 1006 wheat|12v3|BE490039 5046 501 99.1 globlastp 1007 oat|11v1|CN819069_P1 5047 501 92.9 globlastp 1008 oat|11v1|GR317596_P1 5048 501 92.9 globlastp 1009 brachypodium|12v1|BRADI3G56270_P1 5049 501 88 globlastp 1010 rice|11v1|CB209869 5050 501 84.2 globlastp 1011 rice|11v1|AA751912 5051 501 84.19 glotblastn 1012 switchgrass|12v1|DN145682_T1 5052 501 83.72 glotblastn 1013 foxtail_millet|11v3|EC613604_P1 5053 501 83.6 globlastp 1014 millet|10v1|CD724620_P1 5054 501 83.2 globlastp 1015 switchgrass|12v1|DN147859_T1 5055 501 81.48 glotblastn 1016 maize|10v1|AI649499_T1 5056 501 80.56 glotblastn 1017 sorghum|12v1|SB01G039270 5057 501 80.1 globlastp 1018 wheat|12v3|BE404363 5058 502 97.7 globlastp 1019 leymus|gb166|EG374806_P1 5059 502 97.1 globlastp 1020 rye|12v1|DRR001012.120122 5060 502 97.1 globlastp 1021 oat|11v1|GR325303_P1 5061 502 91.7 globlastp 1022 brachypodium|12v1|BRADI5G08820_P1 5062 502 91.6 Globlastp 1023 rice|11v1|AA751818 5063 502 85.67 Glotblastn 1024 maize|10v1|AI966987_P1 5064 502 84.2 Globlastp 1025 rice|11v1|OSCRP090660 5065 502 84.1 Globlastp 1026 sorghum|12v1|SB06G015130 5066 502 83.2 Globlastp 1027 switchgrass|12v1|DN145555_P1 5067 502 82.9 Globlastp 1028 switchgrass|gb167|DN145555 5067 502 82.9 Globlastp 1029 fescue|gb161|DT679565_P1 5068 502 82.8 Globlastp 1030 rye|12v1|DRR001012.32271 5069 503 97.7 Globlastp 1031 brachypodium|12v1|BRADI3G30430_P1 5070 503 89 Globlastp 1032 wheat|12v3|BE497566 5071 504 95.4 Globlastp 1033 rye|12v1|DRR001012.134437 5072 504 90.8 Globlastp 1034 leymus|gb166|CN465858_T1 5073 504 88.99 Glotblastn 1035 barley|12v1|AV933428_P1 5074 504 84.9 Globlastp 1036 wheat|12v3|BE399416 5075 505 96.3 Globlastp 1037 leymus|gb166|EG395011_P1 5076 505 95.1 Globlastp 1038 rye|12v1|BG263885 5077 505 95.1 Globlastp 1039 fescue|gb161|DT698771_P1 5078 505 87.9 Globlastp 1040 brachypodium|12v1|BRADI3G58930_P1 5079 505 83.5 Globlastp 1041 wheat|12v3|AL827317 5080 506 92.1 Globlastp 1042 wheat|12v3|BF473064 5081 506 91.6 Globlastp 1043 rye|12v1|DRR001012.215178 5082 506 83.5 Globlastp 1044 wheat|12v3|BE399655 5083 507 96 Globlastp 1045 brachypodium|12v1|BRADI3G46360_P1 5084 507 88.4 Globlastp 1046 wheat|12v3|BE425895 5085 508 95.8 Globlastp 1047 pseudoroegneria|gb167|FF363929 5086 508 95.5 Globlastp 1048 rye|12v1|DRR001012.165033 5087 508 86.8 Globlastp 1049 wheat|12v3|BE405019 5088 509 86.4 Globlastp 1050 pseudoroegneria|gb167|FF357680 511 511 100 Globlastp 1051 rye|12v1|BE587317 511 511 100 Globlastp 1052 rye|12v1|DRR001012.134892 511 511 100 Globlastp 1053 wheat|12v3|CA679261 5089 511 98.7 Globlastp 1054 brachypodium|12v1|BRADI3G29610_P1 5090 511 90.7 Globlastp 1055 brachypodium|12v1|BRADI3G47027_P1 5091 511 89.3 Globlastp 1056 banana|12v1|FL660779_P1 5092 511 86.7 Globlastp 1057 cirsium|11v1|SRR346952.108326_P1 5093 511 86.7 Globlastp 1058 cynara|gb167|GE581359_P1 5094 511 86.7 Globlastp 1059 onion|12v1|SRR073446X115892D1_P1 5095 511 86.7 Globlastp 1060 salvia|10v1|FE537265 5096 511 86.7 Globlastp 1061 zostera|12v1|SRR057351X135209D1_T1 5097 511 85.33 glotblastn 1062 centaurea|11v1|EH741216_P1 5098 511 85.3 Globlastp 1063 centaurea|11v1|SRR346938.147584_P1 5098 511 85.3 Globlastp 1064 cassava|09v1|DV441272_P1 5099 511 85.3 Globlastp 1065 centaurea|gb166|EH741216 5098 511 85.3 Globlastp 1066 cirsium|11v1|SRR346952.1098629_P1 5098 511 85.3 Globlastp 1067 grape|11v1|GSVIVT01037255001_P1 5100 511 85.3 Globlastp 1068 oat|11v1|SRR020741.138429_P1 5101 511 85.3 Globlastp 1069 onion|12v1|SRR073446X108711D1_P1 5102 511 85.3 Globlastp 1070 poplar|10v1|BU809023 5103 511 85.3 Globlastp 1071 poplar|13v1|BU809023_P1 5103 511 85.3 Globlastp 1072 salvia|10v1|CV167583 5104 511 85.3 Globlastp 1073 senecio|gb170|SRR006592S0012274 5105 511 85.3 Globlastp 1074 nicotiana_benthamiana|12v1|EB695973_P1 5106 511 84 Globlastp 1075 castorbean|11v1|EG681425 5107 511 84 Globlastp 1076 castorbean|12v1|EG681425_P1 5107 511 84 Globlastp 1077 chickpea|11v1|GR408157 5108 511 84 Globlastp 1078 chickpea|13v2|GR395617_P1 5108 511 84 Globlastp 1079 cirsium|11v1|SRR349641.247032XX2_P1 5109 511 84 Globlastp 1080 cotton|11v1|BF277946_P1 5110 511 84 Globlastp 1081 cucurbita|11v1|SRR091276X103592_P1 5111 511 84 Globlastp 1082 euonymus|11v1|SRR070038X178196_P1 5112 511 84 Globlastp 1083 euphorbia|11v1|BP954160_P1 5110 511 84 Globlastp 1084 euphorbia|11v1|DV116401_P1 5110 511 84 Globlastp 1085 gossypium_raimondii|12v1|BF277946_P1 5110 511 84 Globlastp 1086 maize|10v1|AI737075_P1 5113 511 84 Globlastp 1087 melon|10v1|AM715730_P1 5111 511 84 Globlastp 1088 momordica|10v1|SRR071315S0054114_P1 5111 511 84 Globlastp 1089 phalaenopsis|11v1|SRR125771.1779447_P1 5114 511 84 Globlastp 1090 pigeonpea|11v1|SRR054580X150846_P1 5115 511 84 Globlastp 1091 plantago|11v2|SRR066373X101918_P1 5116 511 84 Globlastp 1092 potato|10v1|CV494926_P1 5117 511 84 Globlastp 1093 solanum_phureja|09v1|SPHAW618453 5117 511 84 Globlastp 1094 sorghum|12v1|SB06G030830 5118 511 84 Globlastp 1095 soybean|11v1|BF008960 5115 511 84 Globlastp 1096 soybean|12v1|GLYMA18G14801_P1 5115 511 84 Globlastp 1097 spurge|gb161|DV116401 5119 511 84 Glotblastn 1098 tamarix|gb166|EG972492 5120 511 84 glotblastn 1099 thellungiella_halophilum|11v1|EHJGI11003893 5121 511 84 Globlastp 1100 thellungiella_halophilum|11v1|EHJGI11022828 5122 511 84 Globlastp 1101 tobacco|gb162|EB432772 5123 511 84 Glotblastn 1102 triphysaria|10v1|EY010916 5124 511 84 Globlastp 1103 tripterygium|11v1|SRR098677X192105 5112 511 84 Globlastp 1104 watermelon|11v1|AM715730 5111 511 84 Globlastp 1105 zostera|10v1|SRR057351S0135210 5125 511 83.1 Globlastp 1106 monkeyflower|12v1|MGJGI014705_P1 5126 511 82.7 Globlastp 1107 olea|13v1|SRR014463X24477D1_P1 5127 511 82.7 Globlastp 1108 arabidopsis_lyrata|09v1|JGIAL009222_P1 5128 511 82.7 Globlastp 1109 arnica|11v1|SRR099034X107477_P1 5129 511 82.7 Globlastp 1110 blueberry|12v1|SRR353282X15243D1_P1 5130 511 82.7 Globlastp 1111 bruguiera|gb166|BP943731_P1 5131 511 82.7 Globlastp 1112 chestnut|gb170|SRR006295S0035613_P1 5132 511 82.7 Globlastp 1113 cleome_gynandra|10v1|SRR015532S0004228_P1 5133 511 82.7 Globlastp 1114 cleome_spinosa|10v1|SRR015531S0064405_P1 5134 511 82.7 Globlastp 1115 dandelion|10v1|GO663576_P1 5129 511 82.7 Globlastp 1116 eggplant|10v1|FS052665_P1 5135 511 82.7 Globlastp 1117 euonymus|11v1|SRR070038X152626_P1 5136 511 82.7 Globlastp 1118 fagopyrum|11v1|SRR063689X103716_P1 5137 511 82.7 Globlastp 1119 fagopyrum|11v1|SRR063703X119295_P1 5137 511 82.7 Globlastp 1120 flax|11v1|JG091613_P1 5130 511 82.7 Globlastp 1121 fraxinus|11v1|FR644589_P1 5138 511 82.7 Globlastp 1122 gossypium_raimondii|12v1|DW502606_P1 5139 511 82.7 Globlastp 1123 hornbeam|12v1|SRR364455.120956_P1 5140 511 82.7 Globlastp 1124 lettuce|12v1|DW071404_P1 5129 511 82.7 Globlastp 1125 lotus|09v1|AV416961_P1 5141 511 82.7 Globlastp 1126 medicago|12v1|AL380692_P1 5142 511 82.7 Globlastp 1127 monkeyflower|10v1|DV207687 5126 511 82.7 Globlastp 1128 nasturtium|11v1|GH164582_P1 5143 511 82.7 Globlastp 1129 oak|10v1|FP071413_P1 5144 511 82.7 Globlastp 1130 orobanche|10v1|SRR023189S0030303_P1 5145 511 82.7 Globlastp 1131 papaya|gb165|EX279093_P1 5133 511 82.7 Globlastp 1132 plantago|11v2|SRR066373X112048_P1 5146 511 82.7 globlastp 1133 poplar|10v1|BU874698 5147 511 82.7 Globlastp 1134 poplar|13v1|BU874698_P1 5147 511 82.7 Globlastp 1135 sarracenia|11v1|SRR192669.107084 5148 511 82.7 Globlastp 1136 scabiosa|11v1|SRR063723X100953 5129 511 82.7 Globlastp 1137 silene|11v1|GH291901 5149 511 82.7 Globlastp 1138 soybean|11v1|CA935603 5150 511 82.7 Globlastp 1139 soybean|12v1|GLYMA08G41416_P1 5150 511 82.7 Globlastp 1140 primula|11v1|SRR098679X19709_T1 5151 511 82.67 Glotblastn 1141 ambrosia|11v1|SRR346943.121702_T1 5152 511 81.33 Glotblastn 1142 cotton|11v1|SRR032878.248337_T1 5153 511 81.33 Glotblastn 1143 ginseng|10v1|GR873365_T1 5154 511 81.33 Glotblastn 1144 antirrhinum|gb166|AJ787817_P1 5155 511 81.3 Globlastp 1145 beet|12v1|FG345630_P1 5156 511 81.3 Globlastp 1146 cacao|10v1|CU569368_P1 5157 511 81.3 Globlastp 1147 catharanthus|11v1|EG557286_P1 5158 511 81.3 Globlastp 1148 chelidonium|11v1|SRR084752X8369_P1 5159 511 81.3 Globlastp 1149 clementine|11v1|CK702142_P1 5160 511 81.3 Globlastp 1150 cowpea|12v1|FF540483_P1 5161 511 81.3 Globlastp 1151 curcuma|10v1|DY383002_P1 5162 511 81.3 Globlastp 1152 epimedium|11v1|SRR013502.16811_P1 5163 511 81.3 Globlastp 1153 flaveria|11v1|SRR149229.461290_P1 5164 511 81.3 Globlastp 1154 flaveria|11v1|SRR149232.110155_P1 5164 511 81.3 Globlastp 1155 flax|11v1|EU829659_P1 5165 511 81.3 Globlastp 1156 flax|11v1|JG089166_P1 5165 511 81.3 Globlastp 1157 humulus|11v1|EX520119_P1 5166 511 81.3 Globlastp 1158 ipomoea_batatas|10v1|DC880518_P1 5167 511 81.3 Globlastp 1159 maize|10v1|CD661850_P1 5168 511 81.3 Globlastp 1160 oil_palm|11v1|CN601090_P1 5169 511 81.3 Globlastp 1161 oil_palm|11v1|SRR190698.136067XX1_P1 5170 511 81.3 Globlastp 1162 orange|11v1|CK702142_P1 5160 511 81.3 Globlastp 1163 phyla|11v2|SRR099035X101881_P1 5171 511 81.3 Globlastp 1164 poplar|10v1|BU809431 5172 511 81.3 Globlastp 1165 poplar|13v1|BU809431_P1 5172 511 81.3 Globlastp 1166 switchgrass|12v1|FE600473_P1 5173 511 81.3 Globlastp 1167 switchgrass|gb167|FE600473 5173 511 81.3 Globlastp 1168 switchgrass|12v1|FL701472_P1 5173 511 81.3 Globlastp 1169 switchgrass|gb167|FL701472 5173 511 81.3 Globlastp 1170 vinca|11v1|SRR098690X375698 5174 511 81.3 Globlastp 1171 artemisia|10v1|SRR019254S0003868_T1 5175 511 80.52 Glotblastn 1172 amsonia|11v1|SRR098688X208040_P1 5176 511 80 Globlastp 1173 b_rapa|11v1|CV433672_P1 5177 511 80 Globlastp 1174 beech|11v1|SRR006294.13815_P1 5178 511 80 Globlastp 1175 canola|11v1|CN726675_P1 5179 511 80 globlastp 1176 cichorium|gb171|FL671379_T1 5180 511 80 Glotblastn 1177 eucalyptus|11v2|SRR001658X14353_P1 5181 511 80 Globlastp 1178 flaveria|11v1|SRR149229.202694_T1 5182 511 80 Glotblastn 1179 foxtail_millet|11v3|PHY7SI039204M_P1 5183 511 80 Globlastp 1180 pepper|12v1|CA517896_P1 5184 511 80 Globlastp 1181 poppy|11v1|SRR030259.127410_P1 5185 511 80 Globlastp 1182 potato|10v1|BE922508_P1 5186 511 80 Globlastp 1183 sesame|12v1|SESI12V1376997 5187 511 80 Globlastp 1184 solanum_phureja|09v1|SPHBG129993 5186 511 80 Globlastp 1185 tabernaemontana|11v1|SRR098689X13920 5188 511 80 Glotblastn 1186 tomato|11v1|BG129993 5186 511 80 Globlastp 1187 valeriana|11v1|SRR099039X104290 5189 511 80 Globlastp 1188 rye|12v1|DRR001012.108965 5190 512 87.6 Globlastp 1189 rye|12v1|DRR001012.212453 5191 512 86.2 Glotblastn 1190 rye|12v1|DRR001012.185511 5192 512 83.23 Glotblastn 1191 rye|12v1|DRR001012.357671 5193 514 94.5 Globlastp 1192 rye|12v1|DRR001017.1001245 5194 514 93.2 Globlastp 1193 wheat|12v3|BI480402 5195 514 92.9 Globlastp 1194 leymus|gb166|CD808617_P1 5196 514 92.6 Globlastp 1195 brachypodium|12v1|BRADI5G16650_P1 5197 514 87.1 Globlastp 1196 rye|12v1|DRR001012.224308 5198 515 95.9 Globlastp 1197 wheat|12v3|BE500638 5199 515 95.1 Globlastp 1198 wheat|12v3|CA712416 5199 515 95.1 Globlastp 1199 brachypodium|12v1|BRADI3G30240_P1 5200 515 91.4 Globlastp 1200 switchgrass|12v1|FL727897_P1 5201 515 88.8 Globlastp 1201 foxtail_millet|11v3|EC612469_P1 5202 515 88.1 Globlastp 1202 millet|10v1|EVO454PM146186_P1 5203 515 86.9 Globlastp 1203 switchgrass|gb167|FL727897 5204 515 86.57 Glotblastn 1204 rice|11v1|AA751692 5205 515 86.3 Globlastp 1205 sorghum|12v1|SB01G017780 5206 515 86.2 Globlastp 1206 maize|10v1|BQ635767_P1 5207 515 84 Globlastp 1207 switchgrass|12v1|JG795801_P1 5208 515 80.8 Globlastp 1208 rye|12v1|BE705431 5209 516 92.2 Globlastp 1209 wheat|12v3|BE418793 5210 516 90.8 Globlastp 1210 pseudoroegneria|gb167|FF365512 5211 516 87.4 Globlastp 1211 oat|11v1|CN818599_P1 5212 516 80.6 Globlastp 1212 pseudoroegneria|gb167|FF345820 5213 517 97 Globlastp 1213 wheat|12v3|BG906143 5214 517 94 Globlastp 1214 rye|12v1|DRR001012.123313 5215 517 93.2 Globlastp 1215 wheat|12v3|CD863564 5216 517 93.2 Globlastp 1216 rye|12v1|DRR001012.232649 5217 517 91 Globlastp 1217 brachypodium|12v1|BRADI5G16380_P1 5218 517 82.7 globlastp 1218 oat|11v1|SRR020741.108378_P1 5219 517 82.7 Globlastp 1219 wheat|12v3|AL818554 5220 518 94.9 Globlastp 1220 rye|12v1|DRR001013.158969 5221 518 93.57 Glotblastn 1221 brachypodium|12v1|BRADI1G10060_P1 5222 518 84.9 Globlastp 1222 wheat|12v3|BE401071 5223 519 98.1 Globlastp 1223 oat|11v1|GR321425_P1 5224 519 94.3 Globlastp 1224 brachypodium|12v1|BRADI2G56960_P1 5225 519 87.7 Globlastp 1225 foxtail_millet|11v3|PHY7SI002920M_P1 5226 519 82.9 Globlastp 1226 rye|12v1|DRR001012.106997 5227 519 82.8 Globlastp 1227 sorghum|12v1|SB03G041820 5228 519 82 Globlastp 1228 switchgrass|12v1|DN148669_P1 5229 519 81.8 Globlastp 1229 rice|11v1|BE228600 5230 519 80.8 Globlastp 1230 wheat|12v3|BE471009 5231 520 98.7 Globlastp 1231 brachypodium|12v1|BRADI2G52920_P1 5232 520 93.6 Globlastp 1232 rice|11v1|BM419199 5233 520 92.3 Globlastp 1233 rye|12v1|DRR001012.242488 5234 520 92.3 Globlastp 1234 switchgrass|12v1|GD020803_P1 5235 520 92.1 Globlastp 1235 foxtail_millet|11v3|PHY7SI000692M_P1 5236 520 91.9 Globlastp 1236 sorghum|12v1|SB03G037610 5237 520 91.7 Globlastp 1237 switchgrass|12v1|FL762530_P1 5238 520 91.5 Globlastp 1238 rye|12v1|DRR001012.170719 5239 521 93.6 Globlastp 1239 rye|12v1|DRR001012.332063 5240 521 92.7 Globlastp 1240 wheat|12v3|BQ838669 5241 521 92.2 Globlastp 1241 wheat|12v3|BE604841 5242 521 91.3 Globlastp 1242 wheat|12v3|CA499090 5243 521 91.27 Glotblastn 1243 brachypodium|12v1|BRADI4G18990_P1 5244 521 80.9 Globlastp 1244 wheat|12v3|BE398791 5245 522 91.39 Glotblastn 1245 wheat|12v3|CA501681 5246 522 90.73 Glotblastn 1246 rye|12v1|DRR001012.104069 5247 522 90.7 Globlastp 1247 rye|12v1|DRR001012.201893 5248 522 87.8 Globlastp 1248 oat|11v1|GO589461_T1 5249 523 94.23 Glotblastn 1249 wheat|12v3|BQ242398 5250 523 93.4 Globlastp 1250 rye|12v1|DRR001012.144328 5251 523 91.2 Globlastp 1251 switchgrass|12v1|FE647391_P1 5252 523 87.9 Globlastp 1252 sorghum|12v1|SB02G038400 5253 523 87.1 Globlastp 1253 cenchrus|gb166|EB660107_P1 5254 523 86 Globlastp 1254 sugarcane|10v1|BU103051 5255 523 85.71 Glotblastn 1255 maize|10v1|AI901319_P1 5256 523 85.7 Globlastp 1256 brachypodium|12v1|BRADI1G22510T2_T1 5257 523 84.34 glotblastn 1257 leymus|gb166|CD808969_P1 5258 524 94.2 Globlastp 1258 rye|12v1|BF145403 5259 524 93.8 Globlastp 1259 wheat|12v3|BE497921 5260 524 93.8 Globlastp 1260 wheat|12v3|BE499980 5261 524 93.4 Globlastp 1261 pseudoroegneria|gb167|FF343777 5262 524 93.3 Globlastp 1262 rye|12v1|DRR001012.120114 5263 524 93.3 Globlastp 1263 wheat|12v3|CA659640 5264 524 93.3 Globlastp 1264 wheat|12v3|BE400339 5265 524 92.9 Globlastp 1265 wheat|12v3|SRR043326X33530D1 5266 524 90.91 Glotblastn 1266 oat|11v1|CN816389_P1 5267 524 88.8 Globlastp 1267 oat|11v1|GR353761_P1 5268 524 88.8 Globlastp 1268 barley|12v1|BF621527_P1 5269 524 87.5 Globlastp 1269 rye|12v1|DRR001012.110990 5270 524 87.5 Globlastp 1270 rye|12v1|DRR001012.408028 5271 524 87.5 Globlastp 1271 oat|11v1|CN820431_P1 5272 524 87.1 Globlastp 1272 oat|11v1|CN821230_P1 5273 524 87.1 Globlastp 1273 wheat|12v3|BE606497 5274 524 87.1 Globlastp 1274 rye|12v1|DRR001012.189460 5275 524 86.7 Globlastp 1275 wheat|12v3|CA647190 5276 524 86.7 Globlastp 1276 rye|12v1|DRR001017.1023470 — 524 86.67 Glotblastn 1277 lolium|10v1|AU249832_T1 5277 524 86.25 Glotblastn 1278 oat|11v1|GR330569_T1 5278 524 86.25 Glotblastn 1279 brachypodium|12v1|BRADI2G26040_P1 5279 524 86.2 Globlastp 1280 oat|11v1|CN821538XX2_P1 5280 524 86.2 Globlastp 1281 rice|11v1|BM419373 5281 524 83.8 Globlastp 1282 switchgrass|12v1|DN143316_P1 5282 524 81.7 Globlastp 1283 switchgrass|gb167|DN143316 5282 524 81.7 Globlastp 1284 switchgrass|gb167|DN140861 5283 524 80.4 Globlastp 1285 brachypodium|12v1|BRADI2G26050_P1 5284 524 80 Globlastp 1286 rye|12v1|DRR001012.109115 5285 525 97.9 Globlastp 1287 wheat|12v3|BE405752 5286 525 95.1 Globlastp 1288 brachypodium|12v1|BRADI1G66220_P1 5287 525 93.7 Globlastp 1289 oat|11v1|CN817185_T1 5288 525 92.33 Glotblastn 1290 switchgrass|12v1|DN141372_P1 5289 525 90.6 Globlastp 1291 foxtail_millet|11v3|PHY7SI034514M_P1 5290 525 90.3 Globlastp 1292 switchgrass|12v1|FL810949_P1 5291 525 90.1 Globlastp 1293 maize|10v1|CD986980_P1 5292 525 88.9 Globlastp 1294 maize|10v1|CD970103_P1 5293 525 88.2 Globlastp 1295 sorghum|12v1|SB01G039040 5294 525 88.2 Globlastp 1296 rye|12v1|BE587213 5295 525 82.9 Globlastp 1297 wheat|12v3|BE401045 5296 526 99.1 Globlastp 1298 rye|12v1|BF146231 5297 526 98.4 globlastp 1299 rye|12v1|DRR001012.131820 5298 526 98.3 Globlastp 1300 wheat|12v3|CA610861 5299 526 98.27 Glotblastn 1301 rye|12v1|BE495644 5300 526 97.1 Globlastp 1302 wheat|12v3|BU100178 5301 526 95.8 Globlastp 1303 rye|12v1|DRR001012.100172 5302 526 90.1 Globlastp 1304 brachypodium|12v1|BRADI1G34700_P1 5303 526 89 Globlastp 1305 switchgrass|12v1|FL729730_P1 5304 526 85.9 Globlastp 1306 switchgrass|12v1|FE607339_P1 5305 526 85.7 Globlastp 1307 foxtail_millet|11v3|EC612518_P1 5306 526 85.6 Globlastp 1308 millet|10v1|EVO454PM003124_P1 5307 526 85.3 Globlastp 1309 rice|11v1|AF177392 5308 526 85.2 Globlastp 1310 sorghum|12v1|SB10G029400 5309 526 85.2 Globlastp 1311 maize|10v1|AI622260_P1 5310 526 85 Globlastp 1312 maize|10v1|AW066502_P1 5311 526 83.4 Globlastp 1313 switchgrass|gb167|FE607339 5312 526 83.1 Globlastp 1314 sugarcane|10v1|CA074388 5313 526 80.21 Glotblastn 1315 wheat|12v3|BE497581 5314 527 98.3 Globlastp 1316 rye|12v1|DRR001013.119954 5315 527 93.2 Globlastp 1317 pseudoroegneria|gb167|FF363407 5316 527 91.5 Globlastp 1318 rye|12v1|DRR001012.195564 5317 527 87 Globlastp 1319 oat|11v1|GR314800_P1 5318 527 84.7 Globlastp 1320 wheat|12v3|CA659082 5319 528 86.9 Globlastp 1321 wheat|12v3|BE399087 5320 528 85.9 Globlastp 1322 rye|12v1|DRR001012.133312 5321 528 85.1 Globlastp 1323 cotton|11v1|BM360081_P1 529 529 100 Globlastp 1324 leymus|gb166|CD808644_P1 5322 529 98.5 Globlastp 1325 pseudoroegneria|gb167|FF343068 5322 529 98.5 Globlastp 1326 fescue|gb161|DT682777_P1 5323 529 96.2 Globlastp 1327 lolium|10v1|AU247068_P1 5323 529 96.2 Globlastp 1328 lolium|10v1|AU248778_P1 5323 529 96.2 Globlastp 1329 lolium|10v1|ES700148_P1 5323 529 96.2 Globlastp 1330 oat|11v1|CN817547_P1 5324 529 96.2 Globlastp 1331 rye|12v1|BE495991 5325 529 96.2 Globlastp 1332 wheat|12v3|BE213292 5326 529 94.7 Globlastp 1333 wheat|12v3|BE489656 5326 529 94.7 Globlastp 1334 wheat|12v3|BE591409 5327 529 94.7 Globlastp 1335 wheat|12v3|BF484348 5327 529 94.7 Globlastp 1336 wheat|12v3|BG313200 5327 529 94.7 Globlastp 1337 wheat|12v3|CA622060 5326 529 94.7 Globlastp 1338 wheat|12v3|BE401177 5328 529 93.9 Globlastp 1339 wheat|12v3|BQ902651 5328 529 93.9 Globlastp 1340 wheat|12v3|CA598071 5328 529 93.9 Globlastp 1341 rye|12v1|BE704517 5329 529 92.4 Globlastp 1342 rice|11v1|BE228794 5330 529 91 Globlastp 1343 brachypodium|12v1|BRADI1G58350_P1 5331 529 89.6 globlastp 1344 sorghum|12v1|SB02G002960 5332 529 87.2 Globlastp 1345 sugarcane|10v1|BQ534985 5333 529 87.2 Globlastp 1346 wheat|12v3|AL809977 5334 529 87.02 Glotblastn 1347 maize|10v1|T12694_P1 5335 529 85.3 Globlastp 1348 lovegrass|gb167|DN480912_P1 5336 529 85 Globlastp 1349 wheat|12v3|ERR125556X287344D1 5337 529 84.21 Glotblastn 1350 switchgrass|12v1|DN145166_T1 5338 529 82.71 Glotblastn 1351 cynodon|10v1|ES294536_P1 5339 529 82.1 Globlastp 1352 switchgrass|gb167|DN145166 5340 529 81.8 Globlastp 1353 switchgrass|gb167|FL733379 5340 529 81.8 Globlastp 1354 rye|12v1|DRR001012.213569 5341 530 96.1 Globlastp 1355 brachypodium|12v1|BRADI3G47827_P1 5342 530 86.7 Globlastp 1356 wheat|12v3|CD871072 5343 532 97.7 Globlastp 1357 wheat|12v3|BF474530XX1 5344 532 97.5 Globlastp 1358 wheat|12v3|BE400686 5345 532 89.6 Globlastp 1359 brachypodium|12v1|BRADI1G11010_P1 5346 532 87.8 Globlastp 1360 rice|11v1|AU085903 5347 532 84 Globlastp 1361 switchgrass|12v1|FL993073_P1 5348 532 83.9 Globlastp 1362 foxtail_millet|11v3|PHY7SI035418M_P1 5349 532 83.1 Globlastp 1363 switchgrass|12v1|HO255276_P1 5350 532 82.9 Globlastp 1364 sorghum|12v1|SB01G010740 5351 532 82.2 Globlastp 1365 maize|10v1|GFXAF466646X7_P1 5352 532 80.6 Globlastp 1366 millet|10v1|EVO454PM107234_P1 5353 532 80.3 Globlastp 1367 rye|12v1|DRR001012.488024 5354 533 84.7 Globlastp 1368 pseudoroegneria|gb167|FF343480 5355 534 95.7 Globlastp 1369 wheat|12v3|BE427624 5356 534 95.1 Globlastp 1370 brachypodium|12v1|BRADI4G07630_P1 5357 534 85.5 Globlastp 1371 leymus|gb166|EG385219_P1 5358 534 83.7 Globlastp 1372 wheat|12v3|BE497169 5359 536 91.8 Globlastp 1373 brachypodium|12v1|BRADI1G29260_P1 5360 536 88.9 Globlastp 1374 rye|12v1|DRR001012.198573 5361 536 88.2 Globlastp 1375 maize|10v1|CD435598_P1 5362 536 82.8 Globlastp 1376 switchgrass|12v1|FE648909_P1 5363 536 81.9 Globlastp 1377 switchgrass|12v1|JG772911_P1 5364 536 81.9 Globlastp 1378 sorghum|12v1|SB04G008410 5365 536 81.9 Globlastp 1379 foxtail_millet|11v3|PHY7SI017733M_P1 5366 536 81.7 Globlastp 1380 oat|11v1|CN816172_P1 5367 538 90.5 Globlastp 1381 leymus|gb166|EG375497_P1 5368 538 88 Globlastp 1382 rye|12v1|DRR001012.178125 5369 538 87.6 Globlastp 1383 rye|12v1|DRR001012.109571 5370 538 87.5 globlastp 1384 wheat|12v3|BG906668 5371 538 87.3 Globlastp 1385 rice|11v1|BI305275 5372 538 85.4 Globlastp 1386 foxtail_millet|11v3|PHY7SI030372M_P1 5373 538 84.6 Globlastp 1387 sugarcane|10v1|CA093845 5374 538 84.4 Globlastp 1388 switchgrass|gb167|FL843236 5375 538 84.3 Globlastp 1389 sorghum|12v1|SB02G037160 5376 538 83.7 Globlastp 1390 switchgrass|gb167|FE599488 5377 538 83.4 Globlastp 1391 switchgrass|12v1|FE599488_P1 5377 538 83.4 Globlastp 1392 pseudoroegneria|gb167|FF360233 5378 538 80.92 Glotblastn 1393 maize|10v1|AW018052_P1 5379 538 80.7 Globlastp 1394 oat|11v1|GR329271_P1 5380 539 88.7 Globlastp 1395 wheat|12v3|CA698473 5381 539 87.2 Globlastp 1396 leymus|gb166|EG376445_P1 5382 540 82.4 Globlastp 1397 barley|12v1|BI956005_P1 5383 540 81.7 Globlastp 1398 wheat|12v3|CA486000 5384 540 81.3 Globlastp 1399 wheat|12v3|CJ730962 5385 540 81.3 Globlastp 1400 rye|12v1|DRR001012.193999 5386 542 83.76 Glotblastn 1401 wheat|12v3|CN011800 5387 542 83.76 Glotblastn 1402 wheat|12v3|BE498036 5388 542 81.7 Globlastp 1403 fescue|gb161|DT679740_P1 5389 545 93.9 Globlastp 1404 fescue|gb161|DT691334_P1 5390 545 93.9 Globlastp 1405 lolium|10v1|AU246445_P1 5390 545 93.9 Globlastp 1406 rye|12v1|BE705421 5391 545 93.9 Globlastp 1407 rye|12v1|DRR001012.255916 5391 545 93.9 Globlastp 1408 wheat|12v3|BE213321 5392 545 93.13 Glotblastn 1409 wheat|12v3|CA485361 5393 545 93.13 Glotblastn 1410 rye|12v1|BE494174 5394 545 93.1 Globlastp 1411 rye|12v1|BE704951 5394 545 93.1 Globlastp 1412 rye|12v1|DRR001012.111099 5395 545 93.1 Globlastp 1413 rye|12v1|DRR001012.177842 5395 545 93.1 Globlastp 1414 wheat|12v3|BE425717 5394 545 93.1 Globlastp 1415 leymus|gb166|CD808577_P1 5396 545 92.4 Globlastp 1416 oat|11v1|CN818813_P1 5397 545 92.4 Globlastp 1417 oat|11v1|GR318139_P1 5397 545 92.4 Globlastp 1418 pseudoroegneria|gb167|FF350411 5398 545 92.4 Globlastp 1419 wheat|12v3|BE213279 5399 545 92.4 Globlastp 1420 wheat|12v3|BE490342 5400 545 92.4 Globlastp 1421 wheat|12v3|BQ172432 5401 545 90.8 Globlastp 1422 foxtail_millet|11v3|PHY7SI003335M_P1 5402 545 86.3 Globlastp 1423 switchgrass|12v1|DN147511_P1 5403 545 85.5 Globlastp 1424 lovegrass|gb167|DN480881_P1 5404 545 84.7 Globlastp 1425 sorghum|12v1|SB03G036090 5405 545 84.7 Globlastp 1426 millet|10v1|EVO454PM000328_P1 5406 545 84.1 Globlastp 1427 maize|10v1|AA979823_P1 5407 545 83.2 Globlastp 1428 sugarcane|10v1|BQ533710 5408 545 83.2 globlastp 1429 cynodon|10v1|ES292620_P1 5409 545 80.9 Globlastp 1430 rye|12v1|DRR001012.203718 5410 546 82.1 Globlastp 1431 barley|12v1|AK362455_P1 5411 546 82 Globlastp 1432 rye|12v1|DRR001012.364636XX2 5412 547 91.5 Globlastp 1433 wheat|12v3|BG906134 5413 547 85.3 Globlastp 1434 sorghum|12v1|SB01G019390 5414 547 84.9 Globlastp 1435 switchgrass|12v1|FL796929_P1 5415 547 84.2 Globlastp 1436 foxtail_millet|11v3|PHY7SI035447M_P1 5416 547 83.6 Globlastp 1437 maize|10v1|AW062079_T1 5417 547 82.5 Glotblastn 1438 switchgrass|12v1|HO311456_T1 5418 547 82.22 Glotblastn 1439 wheat|12v3|BE422609 5419 548 88.8 Globlastp 1440 rye|12v1|DRR001012.103563 5420 548 87.9 Globlastp 1441 switchgrass|12v1|FL743281_P1 5421 548 86.3 Globlastp 1442 rice|11v1|BE228296 5422 548 85.1 Globlastp 1443 switchgrass|gb167|FL690808 5423 548 84.76 Glotblastn 1444 switchgrass|12v1|FL690808_P1 5424 548 84.3 Globlastp 1445 sorghum|12v1|SB04G022720 5425 548 83.9 Globlastp 1446 sugarcane|10v1|CA070574 5426 548 83.5 Globlastp 1447 foxtail_millet|11v3|PHY7SI017131M_P1 5427 548 82.6 Globlastp 1448 maize|10v1|AI396326_P1 5428 548 81.5 Globlastp 1449 maize|10v1|AW181177_P1 5429 548 81 Globlastp 1450 barley|12v1|AJ467829_P1 5430 549 85.7 Globlastp 1451 rye|12v1|DRR001012.319825 5431 549 84.09 Glotblastn 1452 rice|11v1|AU070649 5432 549 81.5 Globlastp 1453 switchgrass|12v1|FE634937_P1 5433 551 86.3 Globlastp 1454 switchgrass|gb167|FE634937 5433 551 86.3 Globlastp 1455 switchgrass|12v1|FL763870_P1 5434 551 84.8 Globlastp 1456 switchgrass|gb167|FL763870 5435 551 84.3 Globlastp 1457 oat|11v1|GR316278_P1 5436 551 83.3 Globlastp 1458 foxtail_millet|11v3|PHY7SI031243M_P1 5437 551 82.7 globlastp 1459 sorghum|12v1|SB02G023570 5438 551 82.7 globlastp 1460 wheat|12v3|BQ171089_P1 5439 551 82.2 globlastp 1461 wheat|12v3|BQ171089 — 551 82.2 globlastp 1462 wheat|12v3|CA661505 5440 551 82.18 glotblastn 1463 foxtail_millet|11v3|SIPRD087399_T1 5441 551 81.77 glotblastn 1464 maize|10v1|BM428903_P1 5442 551 81.5 globlastp 1465 maize|10v1|W21661_P1 5443 551 81.2 globlastp 1466 wheat|12v3|CA623670 5444 552 87.35 glotblastn 1467 rye|12v1|DRR001012.157917 5445 552 86.62 glotblastn 1468 barley|12v1|BE454565_T1 5446 552 86.38 glotblastn 1469 leymus|gb166|CD809177_P1 5447 552 86.2 globlastp 1470 oat|11v1|GR317195_P1 5448 552 86.2 globlastp 1471 pseudoroegneria|gb167|FF347096 5449 552 85.92 glotblastn 1472 wheat|12v3|CA623873 5450 552 83.8 glotblastn 1473 rye|12v1|BE495785 5451 553 95.7 globlastp 1474 rye|12v1|DRR001012.134593 5451 553 95.7 globlastp 1475 rye|12v1|DRR001012.147680 5451 553 95.7 globlastp 1476 wheat|12v3|BE422943 5451 553 95.7 globlastp 1477 oat|11v1|GO590320_P1 5452 553 92.3 globlastp 1478 foxtail_millet|11v3|PHY7SI031452M_P1 5453 553 92.2 globlastp 1479 maize|10v1|W21718_P1 5454 553 90.8 globlastp 1480 millet|10v1|EVO454PM017015_P1 5455 553 90.8 globlastp 1481 sorghum|12v1|SB02G026370 5454 553 90.8 globlastp 1482 sugarcane|10v1|CA128222 5454 553 90.8 globlastp 1483 switchgrass|12v1|FL774162_P1 5456 553 90.8 globlastp 1484 switchgrass|gb167|FL774162 5456 553 90.8 globlastp 1485 switchgrass|12v1|FL795215_P1 5457 553 90.8 globlastp 1486 switchgrass|gb167|FL795215 5457 553 90.8 globlastp 1487 fescue|gb161|DT692951_T1 5458 553 90.14 glotblastn 1488 cenchrus|gb166|EB658601_P1 5459 553 90.1 globlastp 1489 rice|11v1|BE040870 5460 553 90.1 globlastp 1490 lovegrass|gb167|EH186261_P1 5461 553 88.7 globlastp 1491 onion|12v1|SRR073446X183856D1_P1 5462 553 83.1 globlastp 1492 oil_palm|11v1|SRR190698.156092_P1 5463 553 82.3 globlastp 1493 banana|12v1|MAGEN2012032091_P1 5464 553 81.6 globlastp 1494 oil_palm|11v1|SRR190698.146249_P1 5465 553 81.6 globlastp 1495 pineapple|10v1|CO731184_P1 5466 553 80.3 globlastp 1496 wheat|12v3|CA688346 5467 554 89 globlastp 1497 wheat|12v3|SRR400820X1243828D1 5468 554 88.34 glotblastn 1498 brachypodium|12v1|BRADI3G28640_T1 5469 554 88.2 glotblastn 1499 foxtail_millet|11v3|PHY7SI033896M_P1 5470 554 87.8 globlastp 1500 rye|12v1|DRR001012.220311 5471 554 86.4 globlastp 1501 wheat|12v3|BQ842364 5472 554 86.4 globlastp 1502 rye|12v1|DRR001012.134897 5473 554 85.4 globlastp 1503 rice|11v1|CA762958 5474 554 83.3 globlastp 1504 rice|11v1|CF323676 5475 554 82.9 globlastp 1505 wheat|12v3|BJ228061 5476 554 82.8 globlastp 1506 sorghum|12v1|CN141557 5477 554 81.6 globlastp 1507 foxtail_millet|11v3|PHY7SI033895M_P1 5478 554 81.5 globlastp 1508 switchgrass|12v1|FL705693_P1 5479 554 81.1 globlastp 1509 switchgrass|12v1|DN150555_P1 5480 554 81 globlastp 1510 foxtail_millet|11v3|PHY7SI000061M_P1 5481 554 80.9 globlastp 1511 maize|10v1|AI973421_P1 5482 554 80.8 globlastp 1512 sorghum|12v1|SB06G031310_P1 5483 554 80.7 globlastp 1513 switchgrass|gb167|FL725227 5484 556 94.92 glotblastn 1514 switchgrass|12v1|FL725227_P1 5485 556 94.9 globlastp 1515 switchgrass|12v1|FL786219_P1 5486 556 94.1 globlastp 1516 sorghum|12v1|SB02G011240 5487 556 93.9 globlastp 1517 maize|10v1|AW191437_P1 5488 556 92.9 globlastp 1518 rice|11v1|BM038990 5489 556 86.7 globlastp 1519 rye|12v1|DRR001012.113915 5490 556 85.9 globlastp 1520 rye|12v1|DRR001012.149120 5491 556 85.9 globlastp 1521 brachypodium|12v1|BRADI4G38070_P1 5492 556 85.4 globlastp 1522 wheat|12v3|BE415805 5493 556 85 globlastp 1523 switchgrass|12v1|FL885636_P1 5494 557 91.9 globlastp 1524 sugarcane|10v1|CA093115 5495 557 88.5 globlastp 1525 switchgrass|gb167|FL885636 5496 557 87.86 glotblastn 1526 millet|10v1|EVO454PM001855_T1 5497 557 85.68 glotblastn 1527 maize|10v1|AA979989_P1 5498 557 85 globlastp 1528 sorghum|12v1|SB09G025680 5499 557 82.6 globlastp 1529 brachypodium|12v1|BRADI2G19700_P1 5500 557 81.3 globlastp 1530 rice|11v1|AA754000 5501 557 81.3 globlastp 1531 pseudoroegneria|gb167|FF359838 5502 557 81 globlastp 1532 wheat|12v3|BF478401 5503 557 81 globlastp 1533 oat|11v1|GO586759_P1 5504 557 80.5 globlastp 1534 rye|12v1|BE587278 5505 557 80.4 globlastp 1535 rye|12v1|DRR001012.711688 5506 557 80.1 globlastp 1536 switchgrass|12v1|FL756755_P1 5507 558 81.7 globlastp 1537 switchgrass|12v1|FL715104_P1 5508 558 81.4 globlastp 1538 maize|10v1|EC877313_P1 5509 559 84.8 globlastp 1539 sorghum|12v1|SB03G035270 5510 559 83.7 globlastp 1540 switchgrass|gb167|FE629499 5511 560 92.22 glotblastn 1541 sorghum|12v1|SB03G037090 5512 560 90.3 globlastp 1542 maize|10v1|CD941687_P1 5513 560 89.7 globlastp 1543 barley|12v1|BG299761_P1 5514 560 86 globlastp 1544 rye|12v1|DRR001012.117815 5515 560 84.3 globlastp 1545 brachypodium|12v1|BRADI2G52390_P1 5516 560 83 globlastp 1546 maize|10v1|CD942894_P1 5517 560 82.2 globlastp 1547 switchgrass|12v1|FL879437_P1 5518 561 87.6 globlastp 1548 switchgrass|12v1|DN148904_P1 5519 561 84.6 globlastp 1549 maize|10v1|BE344773_P1 5520 561 80.2 globlastp 1550 switchgrass|12v1|DN140762_P1 5521 562 94.4 globlastp 1551 millet|10v1|EVO454PM450141_P1 5522 562 92.9 globlastp 1552 switchgrass|gb167|FL726353 5523 562 86.1 globlastp 1553 maize|10v1|BM339029_P1 5524 562 85.1 globlastp 1554 sorghum|12v1|SB03G027790 5525 562 82.9 globlastp 1555 switchgrass|12v1|DN147735_P1 5526 564 92 globlastp 1556 sugarcane|10v1|BQ532774 5527 564 89.4 globlastp 1557 switchgrass|12v1|DN141369_T1 5528 564 89.01 glotblastn 1558 sorghum|12v1|SB10G026060 5529 564 88.5 globlastp 1559 maize|10v1|T12685_P1 5530 564 86.8 globlastp 1560 millet|10v1|EVO454PM016904_P1 5531 565 95.2 globlastp 1561 switchgrass|12v1|FL798747_P1 5532 565 93.3 globlastp 1562 switchgrass|gb167|FL981656 5533 565 93.3 globlastp 1563 sorghum|12v1|SB06G028830 5534 565 92 globlastp 1564 maize|10v1|BM338514_P1 5535 565 90.7 globlastp 1565 maize|10v1|BM895380_P1 5536 565 88.5 globlastp 1566 brachypodium|12v1|BRADI5G22007_P1 5537 565 84.5 globlastp 1567 rice|11v1|BI801437 5538 565 83.3 globlastp 1568 wheat|12v3|BE516240 5539 565 81.2 globlastp 1569 rye|12v1|DRR001012.10091 5540 565 80.7 globlastp 1570 barley|12v1|BQ760382_P1 5541 565 80.5 globlastp 1571 sorghum|12v1|SB04G004190 5542 568 80.7 globlastp 1572 millet|10v1|EVO454PM036906_P1 5543 569 87.9 globlastp 1573 switchgrass|12v1|FE606715_P1 5544 569 84.5 globlastp 1574 switchgrass|12v1|FE597648_P1 5545 569 83.9 globlastp 1575 switchgrass|gb167|FE597648 5546 569 83.6 globlastp 1576 millet|10v1|PMSLX0012767D1_P1 5547 570 81.6 globlastp 1577 switchgrass|gb167|FE609828 5548 570 80.5 globlastp 1578 switchgrass|12v1|FL784509_P1 5549 571 94 globlastp 1579 maize|10v1|AW267378_P1 5550 571 92 globlastp 1580 sorghum|12v1|SB02G000365 5551 571 91.7 globlastp 1581 millet|10v1|EVO454PM010170_P1 5552 571 80.6 globlastp 1582 wheat|12v3|BE405523 5553 571 80 globlastp 1583 sorghum|12v1|SB09G000670 5554 572 94 globlastp 1584 maize|10v1|AI622036_P1 5555 572 92.8 globlastp 1585 wheat|12v3|SRR043323X32016D1 5556 572 91.96 glotblastn 1586 rice|11v1|GFXAC079022X1 5557 572 89.7 globlastp 1587 brachypodium|12v1|BRADI2G39420_P1 5558 572 88.8 globlastp 1588 rye|12v1|DRR001012.201180 5559 572 83.9 globlastp 1589 foxtail_millet|11v3|PHY7SI000064M_P1 5560 572 82.9 globlastp 1590 rice|11v1|BE229765 5561 572 82.7 globlastp 1591 sorghum|12v1|SB03G047010 5562 572 82.6 globlastp 1592 wheat|12v3|BQ743986 5563 572 82.1 globlastp 1593 barley|12v1|AV913031_P1 5564 572 81.8 globlastp 1594 brachypodium|12v1|BRADI2G61777_P1 5565 572 81.6 globlastp 1595 wheat|12v3|CA699178 5566 572 81.55 glotblastn 1596 barley|12v1|AW983306_P1 5567 572 81.2 globlastp 1597 rye|12v1|DRR001012.17645 5568 572 81.02 glotblastn 1598 rye|12v1|DRR001012.111897 5569 572 80.7 globlastp 1599 wheat|12v3|BE492986 5570 572 80.48 glotblastn 1600 millet|10v1|EVO454PM121012_P1 5571 573 98.9 globlastp 1601 switchgrass|gb167|FE620088 5572 573 98.9 globlastp 1602 rice|11v1|BE040122 5573 573 94.9 globlastp 1603 rye|12v1|DRR001012.127367 5574 573 92.6 globlastp 1604 wheat|12v3|BQ579626 5574 573 92.6 globlastp 1605 barley|12v1|BE060282_P1 5575 573 92 globlastp 1606 oat|11v1|CN815187_P1 5576 573 92 globlastp 1607 rice|11v1|CA764875 5577 573 91.4 globlastp 1608 brachypodium|12v1|BRADI3G29110_P1 5578 573 90.3 globlastp 1609 maize|10v1|AI491684_P1 5579 573 90.3 globlastp 1610 sorghum|12v1|SB06G014440 5580 573 89.71 glotblastn 1611 maize|10v1|AW520044_P1 5581 573 89.7 globlastp 1612 brachypodium|12v1|BRADI4G07940_P1 5582 573 89.1 globlastp 1613 oil_palm|11v1|EY402276_P1 5583 573 81.8 globlastp 1614 aristolochia|10v1|SRR039082S0001137_P1 5584 573 81.2 globlastp 1615 melon|10v1|AM714468_P1 5585 573 80.6 globlastp 1616 cucumber|09v1|DN910761_P1 5586 573 80 globlastp 1617 sorghum|12v1|SB05G005850 5587 574 88.2 globlastp 1618 maize|10v1|AI987267_P1 5588 574 87.6 globlastp 1619 millet|10v1|EVO454PM027597_P1 5589 574 81 globlastp 1620 switchgrass|12v1|FL717832_P1 5590 574 80.4 globlastp 1621 switchgrass|12v1|FL920522_P1 5591 575 86.9 globlastp 1622 sorghum|12v1|SB02G002790 5592 575 83.1 globlastp 1623 sorghum|12v1|SB02G044070 5593 576 92.5 globlastp 1624 maize|10v1|BE345024_P1 5594 576 92 globlastp 1625 millet|10v1|EVO454PM059615_P1 5595 576 88.9 globlastp 1626 brachypodium|12v1|BRADI1G16500_P1 5596 576 85.4 globlastp 1627 leymus|gb166|EG378503_P1 5597 576 83.7 globlastp 1628 wheat|12v3|BE414106 5598 576 82.3 globlastp 1629 rice|11v1|BM038382 5599 576 81 globlastp 1630 switchgrass|12v1|FL696404_P1 5600 578 98.8 globlastp 1631 rice|11v1|BE530957 5601 578 96.7 globlastp 1632 brachypodium|12v1|BRADI1G13720_P1 5602 578 96.5 globlastp 1633 maize|10v1|MZEORFP_P1 5603 578 96.5 globlastp 1634 rye|12v1|DRR001012.122396 5604 578 96.34 glotblastn 1635 sorghum|12v1|SB01G013470 5605 578 95.9 globlastp 1636 rye|12v1|DRR001012.122796 5606 578 95 globlastp 1637 grape|11v1|GSVIVT01020543001_P1 5607 578 90.3 globlastp 1638 cassava|09v1|CK644520_T1 5608 578 89.67 glotblastn 1639 poplar|13v1|AI163021_P1 5609 578 89.5 globlastp 1640 cotton|11v1|CO084380_P1 5610 578 89.4 globlastp 1641 eucalyptus|11v2|CD669178_P1 5611 578 89.4 globlastp 1642 gossypium_raimondii|12v1|DN801910_P1 5610 578 89.4 globlastp 1643 castorbean|12v1|EG680374_P1 5612 578 89.2 globlastp 1644 pigeonpea|11v1|SRR054580X104115_P1 5613 578 89.2 globlastp 1645 poplar|10v1|AI163021 5614 578 89.18 glotblastn 1646 bean|12v2|CA902221_P1 5615 578 89.1 globlastp 1647 bean|12v1|CA902221 5615 578 89.1 globlastp 1648 clementine|11v1|CN188446_P1 5616 578 89.1 globlastp 1649 monkeyflower|10v1|GFXAJ565937X1 5617 578 89.1 globlastp 1650 monkeyflower|12v1|DV209472_P1 5617 578 89.1 globlastp 1651 orange|11v1|CN188446_P1 5616 578 89.1 globlastp 1652 petunia|gb171|DQ020641_P1 5618 578 89.1 globlastp 1653 solanum_phureja|09v1|SPHLEU28403 5619 578 89.1 globlastp 1654 soybean|11v1|GLYMA09G07570 5620 578 89.1 globlastp 1655 soybean|12v1|GLYMA09G07570_P1 5620 578 89.1 globlastp 1656 watermelon|11v1|AM737723 5621 578 89.1 globlastp 1657 valeriana|11v1|SRR099039X108628 5622 578 89.01 glotblastn 1658 nicotiana_benthamiana|12v1|BP748941_P1 5623 578 89 globlastp 1659 aquilegia|10v2|DR927211_P1 5624 578 89 globlastp 1660 trigonella|11v1|SRR066194X145996 5625 578 89 glotblastn 1661 amborella|12v3|AY699216_P1 5626 578 88.9 globlastp 1662 chickpea|11v1|GR392965 5627 578 88.8 globlastp 1663 chickpea|13v2|GR392965_P1 5627 578 88.8 globlastp 1664 soybean|11v1|GLYMA15G18790 5628 578 88.8 globlastp 1665 soybean|12v1|GLYMA15G18790_P1 5628 578 88.8 globlastp 1666 tomato|11v1|LEU28403 5629 578 88.8 globlastp 1667 antirrhinum|gb166|AY566619_P1 5630 578 88.7 globlastp 1668 cacao|10v1|CA798124_P1 5631 578 88.7 globlastp 1669 thellungiella_parvulum|11v1|EPCRP030837 5632 578 88.7 globlastp 1670 nicotiana_benthamiana|12v1|GFXAY596739X1_P1 5633 578 88.6 globlastp 1671 maize|10v1|AI947765_T1 5634 578 88.59 glotblastn 1672 arnica|11v1|SRR099034X100378_P1 5635 578 88.5 globlastp 1673 medicago|12v1|AW686511_P1 5636 578 88.5 globlastp 1674 ambrosia|11v1|SRR346935.112170_T1 5637 578 88.45 glotblastn 1675 prunus|10v1|CN579460 5638 578 88.4 globlastp 1676 prunus_mume|13v1|DW342897_P1 5639 578 88.3 globlastp 1677 canola|11v1|DY004560_P1 5640 578 88.3 globlastp 1678 tabernaemontana|11v1|SRR098689X101385 5641 578 88.3 globlastp 1679 thellungiella_halophilum|11v1|EHJGI11013611 5642 578 88.3 globlastp 1680 bean|12v2|SRR090491.1037431_P1 5643 578 88.2 globlastp 1681 b_rapa|11v1|BG544904_P1 5644 578 88.2 globlastp 1682 apple|11v1|CN579460_P1 5645 578 88.1 globlastp 1683 arabidopsis_lyrata|09v1|JGIAL025979_P1 5646 578 88.1 globlastp 1684 amsonia|11v1|SRR098688X100594_P1 5647 578 88 globlastp 1685 plantago|11v2|SRR066373X106645_P1 5648 578 88 globlastp 1686 arabidopsis|10v1|AT4G21710_P1 5649 578 87.9 globlastp 1687 apple|11v1|CN580488_T1 5650 578 87.89 glotblastn 1688 strawberry|11v1|DY667228 5651 578 87.8 globlastp 1689 cucumber|09v1|AM737723_T1 5652 578 87.71 glotblastn 1690 canola|11v1|EV055759_P1 5653 578 87.7 globlastp 1691 b_rapa|11v1|AT002075_P1 5654 578 87.3 globlastp 1692 poppy|11v1|GFXDQ017122X1_P1 5655 578 87.2 globlastp 1693 abies|11v2|SRR098676X108534_P1 5656 578 87.1 globlastp 1694 cephalotaxus|11v1|AY699209_P1 5657 578 87 globlastp 1695 euphorbia|11v1|DV124499_P1 5658 578 85.7 globlastp 1696 ceratodon|10v1|SRR074890S0024567_P1 5659 578 85.4 globlastp 1697 physcomitrella|10v1|FC414727_P1 5660 578 85.4 globlastp 1698 petunia|gb171|DQ020638_P1 5661 578 85 globlastp 1699 monkeyflower|12v1|GFXAJ558241X1_P1 5662 578 84.6 globlastp 1700 oil_palm|11v1|GH635997_P1 5663 578 84.6 globlastp 1701 tomato|11v1|GFXAJ565936X1 5664 578 84.4 globlastp 1702 antirrhinum|gb166|AY566620_P1 5665 578 83.9 globlastp 1703 solanum_phureja|09v1|SPHGFXAJ565936X1 5666 578 83.9 globlastp 1704 tripterygium|11v1|SRR098677X104577 5667 578 83.7 glotblastn 1705 b_rapa|11v1|E6ANDIZ02G1AVU_P1 5668 578 83.1 globlastp 1706 liriodendron|gb166|GFXAY566615X1_T1 5669 578 82.54 glotblastn 1707 vinca|11v1|SRR098690X103405 5670 578 82.2 glotblastn 1708 rye|12v1|DRR001012.100960 5671 578 82 globlastp 1709 wheat|12v3|CA694404 5671 578 82 globlastp 1710 switchgrass|gb167|FL691093 5672 579 91.7 globlastp 1711 switchgrass|12v1|FL702388_P1 5673 579 91.5 globlastp 1712 maize|10v1|AW600635_P1 5674 579 85.4 globlastp 1713 millet|10v1|EVO454PM004565_P1 5675 579 82.5 globlastp 1714 switchgrass|12v1|GD047127_P1 5676 580 95.8 globlastp 1715 switchgrass|12v1|FE622371_P1 5677 580 95.6 globlastp 1716 maize|10v1|AW498340_P1 5678 580 92.5 globlastp 1717 millet|10v1|EVO454PM007673_P1 5679 580 91.4 globlastp 1718 rice|11v1|AU172537 5680 580 88.4 globlastp 1719 barley|12v1|BI951707_P1 5681 580 87.3 globlastp 1720 rye|12v1|DRR001012.108541 5682 580 86.84 glotblastn 1721 brachypodium|12v1|BRADI1G07140_P1 5683 580 86.4 globlastp 1722 wheat|12v3|CA731703 5684 580 86 globlastp 1723 wheat|12v3|CJ688448 5685 580 86 globlastp 1724 wheat|12v3|BE430680 5686 580 85.7 globlastp 1725 wheat|12v3|SRR043326X61261D1 5687 580 82.4 globlastp 1726 sorghum|12v1|SB01G001470 5688 581 80.82 glotblastn 1727 switchgrass|gb167|FL740714 5689 582 90.37 glotblastn 1728 sorghum|12v1|SB01G034230 5690 582 88.6 globlastp 1729 maize|10v1|AW191774_P1 5691 582 87 globlastp 1730 switchgrass|12v1|FL740714_P1 5692 582 83.3 globlastp 1731 switchgrass|12v1|GD032085_P1 5693 584 93.6 globlastp 1732 switchgrass|12v1|FL876127_P1 5694 584 92.8 globlastp 1733 cenchrus|gb166|EB659901_P1 5695 584 90.8 globlastp 1734 maize|10v1|AW308661_P1 5696 584 85.5 globlastp 1735 sorghum|12v1|SB01G038830 5697 584 85.5 globlastp 1736 switchgrass|gb167|FL876127 5698 584 84.7 globlastp 1737 barley|12v1|AV917342_P1 5699 584 80 globlastp 1738 sorghum|12v1|SB08G017000 5700 586 96.5 globlastp 1739 switchgrass|gb167|FL772843 5701 586 88.9 globlastp 1740 sugarcane|10v1|CA150053 5702 586 88.6 globlastp 1741 millet|10v1|EVO454PM003727_P1 5703 586 88.3 globlastp 1742 switchgrass|12v1|FL772843_P1 5704 586 88.2 globlastp 1743 maize|10v1|CF015939_T1 — 586 81.69 glotblastn 1744 lovegrass|gb167|EH189424_P1 5705 586 81 globlastp 1745 foxtail_millet|11v3|EC611921_P1 5706 586 80.7 globlastp 1746 cynodon|10v1|ES298101_P1 5707 586 80.3 globlastp 1747 rice|11v1|BU572389 5708 586 80.27 glotblastn 1748 sorghum|12v1|SB09G029060 5709 587 80.2 globlastp 1749 foxtail_millet|11v3|PHY7SI028803M_P1 5710 588 96.7 globlastp 1750 rice|11v1|BI799345 5711 588 92.5 globlastp 1751 switchgrass|12v1|DN149726_P1 5712 588 92.1 globlastp 1752 barley|12v1|AJ461484_P1 5713 588 90.4 globlastp 1753 switchgrass|gb167|DN149726 5714 588 90.2 globlastp 1754 switchgrass|12v1|FE601563_P1 5715 588 87.3 globlastp 1755 banana|12v1|FF558588_P1 5716 588 85 globlastp 1755 banana|12v1|FF558588_P1 5716 669 83.6 globlastp 1756 oil_palm|11v1|ES370569_P1 5717 588 84.4 globlastp 1756 oil_palm|11v1|ES370569_P1 5717 669 82.4 globlastp 1757 rye|12v1|DRR001012.119625 5718 588 84.3 globlastp 1758 wheat|12v3|BE493469 5719 588 83.9 globlastp 1758 wheat|12v3|BE493469 5719 669 80.6 globlastp 1759 eucalyptus|11v2|CT986059_P1 5720 588 83.8 globlastp 1759 eucalyptus|11v2|CT986059_P1 5720 669 84.8 globlastp 1760 rye|12v1|DRR001012.102824 5721 588 83.8 globlastp 1760 rye|12v1|DRR001012.102824 5721 669 80.6 globlastp 1761 brachypodium|12v1|BRADI5G08235_P1 5722 588 83.7 globlastp 1761 brachypodium|12v1|BRADI5G08235_P1 5722 669 80.3 globlastp 1762 sorghum|12v1|SB06G013930 5723 588 83.7 globlastp 1762 sorghum|12v1|SB06G013930 5723 669 80.8 globlastp 1763 oat|11v1|CN817802_T1 5724 588 83.68 glotblastn 1764 castorbean|12v1|EG656511_P1 5725 588 83.6 globlastp 1764 castorbean|12v1|EG656511_P1 5725 669 85.8 globlastp 1765 foxtail_millet|11v3|PHY7SI009245M_P1 5726 588 83.6 globlastp 1765 foxtail_millet|11v3|PHY7SI009245M_P1 5726 669 80.5 globlastp 1766 sorghum|12v1|SB06G013940 5727 588 83.6 globlastp 1766 sorghum|12v1|SB06G013940 5727 669 80.8 globlastp 1767 amborella|12v3|CK761744_P1 5728 588 83.4 globlastp 1767 amborella|12v3|CK761744_P1 5728 669 82.2 globlastp 1768 brachypodium|12v1|BRADI5G08230_P1 5729 588 83.4 globlastp 1768 brachypodium|12v1|BRADI5G08230_P1 5729 669 80 globlastp 1769 maize|10v1|T18386_P1 5730 588 83.4 globlastp 1769 maize|10v1|T18386_P1 5730 669 80.7 globlastp 1770 cassava|09v1|CK643428_P1 5731 588 83.3 globlastp 1770 cassava|09v1|CK643428_P1 5731 669 85.2 globlastp 1771 maize|10v1|T18293_P1 5732 588 83.3 globlastp 1771 maize|10v1|T18293_P1 5732 669 80.2 globlastp 1772 rice|11v1|U38053 5733 588 83.3 globlastp 1772 rice|11v1|U38053 5733 669 80.9 globlastp 1773 banana|12v1|DN239957_P1 5734 588 83.2 globlastp 1773 banana|12v1|DN239957_P1 5734 669 80.9 globlastp 1774 cassava|09v1|JGICASSAVA6609VALIDM1_P1 5735 588 83.2 globlastp 1774 cassava|09v1|JGICASSAVA6609VALIDM1_P1 5735 669 85.2 globlastp 1775 chelidonium|11v1|SRR084752X106414_P1 5736 588 83.2 globlastp 1775 chelidonium|11v1|SRR084752X106414_P1 5736 669 82.1 globlastp 1776 apple|11v1|CN490891_P1 5737 588 83.1 globlastp 1776 apple|11v1|CN490891_P1 5737 669 84.6 globlastp 1777 cucumber|09v1|BU791062_P1 5738 588 83.1 globlastp 1777 cucumber|09v1|BU791062_P1 5738 669 84.9 globlastp 1778 tripterygium|11v1|SRR098677X10105 5739 588 83 globlastp 1778 tripterygium|11v1|SRR098677X10105 5739 669 84.4 globlastp 1779 poppy|11v1|FE967956_T1 5740 588 82.94 glotblastn 1779 poppy|11v1|FE967956_T1 5740 669 82.78 glotblastn 1780 poppy|11v1|SRR030259.135207_T1 5741 588 82.94 glotblastn 1780 poppy|11v1|SRR030259.135207_T1 5741 669 82.78 glotblastn 1781 switchgrass|12v1|FE641776_P1 5742 588 82.9 globlastp 1782 amsonia|11v1|SRR098688X100786_P1 5743 588 82.9 globlastp 1782 amsonia|11v1|SRR098688X100786_P1 5743 669 85.4 globlastp 1783 poppy|11v1|SRR030259.104847_P1 5744 588 82.9 globlastp 1783 poppy|11v1|SRR030259.104847_P1 5744 669 82.7 globlastp 1784 nicotiana_benthamiana|12v1|BP749265_P1 5745 588 82.8 globlastp 1784 nicotiana_benthamiana|12v1|BP749265_P1 5745 669 82.2 globlastp 1785 watermelon|11v1|AM732793 5746 588 82.78 glotblastn 1785 watermelon|11v1|AM732793 5746 669 84.71 glotblastn 1786 poplar|10v1|BU808955 5747 588 82.7 globlastp 1786 poplar|10v1|BU808955 5747 669 85.1 globlastp 1787 poplar|13v1|BU808955_P1 5747 588 82.7 globlastp 1787 poplar|13v1|BU808955_P1 5747 669 85.1 globlastp 1788 orange|11v1|CK701952_T1 5748 588 82.63 glotblastn 1788 orange|11v1|CK701952_T1 5748 669 85.69 glotblastn 1789 clementine|11v1|CK701952_P1 5749 588 82.6 globlastp 1789 clementine|11v1|CK701952_P1 5749 669 85.4 globlastp 1790 flaveria|11v1|SRR149232.301988_T1 5750 588 82.57 glotblastn 1790 flaveria|11v1|SRR149232.301988_T1 5750 669 84.81 glotblastn 1791 lettuce|12v1|DW108243_P1 5751 588 82.5 globlastp 1791 lettuce|12v1|DW108243_P1 5751 669 83.8 globlastp 1792 silene|11v1|SRR096785X103511 5752 588 82.5 globlastp 1792 silene|11v1|SRR096785X103511 5752 669 83.5 globlastp 1793 flaveria|11v1|SRR149229.105537_T1 5753 588 82.49 glotblastn 1793 flaveria|11v1|SRR149229.105537_T1 5753 669 84.34 glotblastn 1794 centaurea|11v1|EH717944_P1 5754 588 82.4 globlastp 1794 centaurea|11v1|EH717944_P1 5754 669 84.5 globlastp 1795 aquilegia|10v2|DR916365_P1 5755 588 82.4 globlastp 1795 aquilegia|10v2|DR916365_P1 5755 669 83.4 globlastp 1796 podocarpus|10v1|SRR065014S0001540_P1 5756 588 82.4 globlastp 1796 podocarpus|10v1|SRR065014S0001540_P1 5756 669 82.3 globlastp 1797 cotton|11v1|AI726463_T1 5757 588 82.37 glotblastn 1797 cotton|11v1|AI726463_T1 5757 669 84.62 glotblastn 1798 cotton|11v1|BF278372_T1 5758 588 82.37 glotblastn 1798 cotton|11v1|BF278372_T1 5758 669 85 glotblastn 1799 aquilegia|10v2|DR925645_P1 5759 588 82.3 globlastp 1799 aquilegia|10v2|DR925645_P1 5759 669 84 globlastp 1800 b_rapa|11v1|CD836760_P1 5760 588 82.3 globlastp 1800 b_rapa|11v1|CD836760_P1 5760 669 82 globlastp 1801 cacao|10v1|CU481473_P1 5761 588 82.3 globlastp 1801 cacao|10v1|CU481473_P1 5761 669 84.5 globlastp 1802 cotton|11v1|CO103364_P1 5762 588 82.3 globlastp 1802 cotton|11v1|CO103364_P1 5762 669 84.6 globlastp 1803 gossypium_raimondii|12v1|AI726463_P1 5763 588 82.3 globlastp 1803 gossypium_raimondii|12v1|AI726463_P1 5763 669 84.6 globlastp 1804 prunus|10v1|CN490891 5764 588 82.3 globlastp 1804 prunus|10v1|CN490891 5764 669 84.5 globlastp 1805 prunus_mume|13v1|CV050672_P1 5765 588 82.2 globlastp 1805 prunus_mume|13v1|CV050672_P1 5765 669 84.5 globlastp 1806 gossypium_raimondii|12v1|AI728825_P1 5766 588 82.2 globlastp 1806 gossypium_raimondii|12v1|AI728825_P1 5766 669 84.4 globlastp 1807 sequoia|10v1|SRR065044S0004548 5767 588 82.2 globlastp 1807 sequoia|10v1|SRR065044S0004548 5767 669 81.1 globlastp 1808 ambrosia|11v1|SRR346935.100861_T1 5768 588 82.17 glotblastn 1808 ambrosia|11v1|SRR346935.100861_T1 5768 669 84.62 glotblastn 1809 cotton|11v1|DW492306_P1 5769 588 82.1 globlastp 1809 cotton|11v1|DW492306_P1 5769 669 84.3 globlastp 1810 ambrosia|11v1|SRR346935.108934_T1 5770 588 82.08 glotblastn 1810 ambrosia|11v1|SRR346935.108934_T1 5770 669 84.71 glotblastn 1811 flaveria|11v1|SRR149229.144621_T1 5771 588 82.08 glotblastn 1811 flaveria|11v1|SRR149229.144621_T1 5771 669 84.23 glotblastn 1812 vinca|11v1|SRR098690X140407 5772 588 82.01 glotblastn 1812 vinca|11v1|SRR098690X140407 5772 669 82.2 globlastp 1813 euphorbia|11v1|DV123408_P1 5773 588 82 globlastp 1813 euphorbia|11v1|DV123408_P1 5773 669 85.3 globlastp 1814 poppy|11v1|SRR096789.102474_T1 5774 588 82 glotblastn 1814 poppy|11v1|SRR096789.102474_T1 5774 669 81.63 glotblastn 1815 tomato|11v1|BG627851 5775 588 82 globlastp 1815 tomato|11v1|BG627851 5775 669 82.6 globlastp 1816 poplar|13v1|AJ298115_P1 5776 588 82 globlastp 1816 poplar|13v1|AJ298115_P1 5776 669 84.8 globlastp 1817 nicotiana_benthamiana|12v1|EB695946_P1 5777 588 81.9 globlastp 1817 nicotiana_benthamiana|12v1|EB695946_P1 5777 669 83.4 globlastp 1818 arabidopsis_lyrata|09v1|JGIAL018794_P1 5778 588 81.9 globlastp 1818 arabidopsis_lyrata|09v1|JGIAL018794_P1 5778 669 82.6 globlastp 1819 arabidopsis|10v1|AT3G55410_P1 5779 588 81.9 globlastp 1819 arabidopsis|10v1|AT3G55410_P1 5779 669 82.7 globlastp 1820 poplar|10v1|AJ298115 5780 588 81.9 globlastp 1820 poplar|10v1|AJ298115 5780 669 84.8 globlastp 1821 vinca|11v1|SRR098690X10694 5781 588 81.9 globlastp 1821 vinca|11v1|SRR098690X10694 5781 669 84.5 globlastp 1822 sciadopitys|10v1|SRR065035S0026542 5782 588 81.85 glotblastn 1822 sciadopitys|10v1|SRR065035S0026542 5782 669 82.07 glotblastn 1823 poppy|11v1|FE965289_T1 5783 588 81.81 glotblastn 1823 poppy|11v1|FE965289_T1 5783 669 81.15 glotblastn 1824 nicotiana_benthamiana|12v1|EB681944_P1 5784 588 81.7 globlastp 1824 nicotiana_benthamiana|12v1|EB681944_P1 5784 669 81.2 globlastp 1825 poppy|11v1|SRR030259.121112_P1 5785 588 81.7 globlastp 1825 poppy|11v1|SRR030259.121112_P1 5785 669 81.8 globlastp 1826 silene|11v1|SRR096785X106583 5786 588 81.7 globlastp 1826 silene|11v1|SRR096785X106583 5786 669 82.5 globlastp 1827 solanum_phureja|09v1|SPHBG627851 5787 588 81.7 globlastp 1827 solanum_phureja|09v1|SPHBG627851 5787 669 82 globlastp 1828 valeriana|11v1|SRR099039X106755 5788 588 81.7 glotblastn 1828 valeriana|11v1|SRR099039X106755 5788 669 83.37 glotblastn 1829 valeriana|11v1|SRR099039X117744 5789 588 81.7 globlastp 1829 valeriana|11v1|SRR099039X117744 5789 669 85.1 globlastp 1830 monkeyflower|10v1|GR041459 5790 588 81.6 globlastp 1830 monkeyflower|10v1|GR041459 5790 669 83.1 globlastp 1831 monkeyflower|12v1|GR137919_P1 5790 588 81.6 globlastp 1831 monkeyflower|12v1|GR137919_P1 5790 669 83.1 globlastp 1832 thellungiella_parvulum|11v1|DN776865 5791 588 81.6 globlastp 1832 thellungiella_parvulum|11v1|DN776865 5791 669 82.4 globlastp 1833 b_rapa|11v1|BG543370_P1 5792 588 81.5 globlastp 1833 b_rapa|11v1|BG543370_P1 5792 669 82.7 globlastp 1834 cephalotaxus|11v1|SRR064395X109569_P1 5793 588 81.5 globlastp 1834 cephalotaxus|11v1|SRR064395X109569_P1 5793 669 80.9 globlastp 1835 monkeyflower|10v1|CV521029 5794 588 81.5 globlastp 1835 monkeyflower|10v1|CV521029 5794 669 84.1 globlastp 1836 monkeyflower|12v1|CV521029_P1 5794 588 81.5 globlastp 1836 monkeyflower|12v1|CV521029_P1 5794 669 84.1 globlastp 1837 sunflower|12v1|CX946769 5795 588 81.5 globlastp 1837 sunflower|12v1|CX946769 5795 669 84.7 globlastp 1838 amorphophallus|11v2|SRR089351X598842_T1 5796 588 81.43 glotblastn 1838 amorphophallus|11v2|SRR089351X598842_T1 5796 669 80.9 glotblastn 1839 zostera|10v1|SRR057351S0013123 5797 588 81.4 globlastp 1840 zostera|12v1|SRR057351X103792D1_P1 5797 588 81.4 globlastp 1841 arabidopsis|10v1|AT5G65750_P1 5798 588 81.4 globlastp 1841 arabidopsis|10v1|AT5G65750_P1 5798 669 82.6 globlastp 1842 phalaenopsis|11v1|SRR125771.1006355_T1 5799 588 81.31 glotblastn 1842 phalaenopsis|11v1|SRR125771.1006355_T1 5799 669 80.9 glotblastn 1843 wheat|12v3|CA642089 5800 588 81.3 globlastp 1844 arabidopsis_lyrata|09v1|JGIAL031268_P1 5801 588 81.3 globlastp 1844 arabidopsis_lyrata|09v1|JGIAL031268_P1 5801 669 82.3 globlastp 1845 taxus|10v1|SRR032523S0007163 5802 588 81.21 glotblastn 1845 taxus|10v1|SRR032523S0007163 5802 669 81.01 glotblastn 1846 solanum_phureja|09v1|SPHAJ302131 5803 588 81.2 globlastp 1846 solanum_phureja|09v1|SPHAJ302131 5803 669 81.7 globlastp 1847 strawberry|11v1|DY670233 5804 588 81.2 globlastp 1847 strawberry|11v1|DY670233 5804 669 83.9 globlastp 1848 tomato|11v1|AJ302131 5805 588 81.19 glotblastn 1848 tomato|11v1|AJ302131 5805 669 81.37 glotblastn 1849 amorphophallus|11v2|SRR089351X125059_P1 5806 588 81.1 globlastp 1849 amorphophallus|11v2|SRR089351X125059_P1 5806 669 81.9 globlastp 1850 arnica|11v1|SRR099034X104253_P1 5807 588 81.1 globlastp 1850 arnica|11v1|SRR099034X104253_P1 5807 669 84.5 globlastp 1851 canola|11v1|ES905247_P1 5808 588 81 globlastp 1851 canola|11v1|ES905247_P1 5808 669 80.9 globlastp 1852 Clementine|11v1|CF834323_P1 5809 588 81 globlastp 1852 Clementine|11v1|CF834323_P1 5809 669 84.1 globlastp 1853 orange|11v1|CF834323_P1 5810 588 81 globlastp 1853 orange|11v1|CF834323_P1 5810 669 84.1 globlastp 1854 canola|11v1|EV192510_T1 5811 588 80.81 glotblastn 1854 canola|11v1|EV192510_T1 5811 669 80.68 glotblastn 1855 b_rapa|11v1|DY024002_P1 5812 588 80.8 globlastp 1855 b_rapa|11v1|DY024002_P1 5812 669 81 globlastp 1856 canola|11v1|EE416237_P1 5813 588 80.8 globlastp 1856 canola|11v1|EE416237_P1 5813 669 81.8 globlastp 1857 pine|10v2|AA739591_P1 5814 588 80.8 globlastp 1857 pine|10v2|AA739591_P1 5814 669 80.9 globlastp 1858 prunus_mume|13v1|DW342624_T1 5815 588 80.61 glotblastn 1858 prunus_mume|13v1|DW342624_P1 5815 669 80.5 globlastp 1859 abies|11v2|SRR098676X101909_P1 5816 588 80.6 globlastp 1859 abies|11v2|SRR098676X101909_P1 5816 669 80.9 globlastp 1860 thellungiella_halophilum|11v1|DN772746 5817 588 80.6 globlastp 1860 thellungiella_halophilum|11v1|DN772746 5817 669 82.6 globlastp 1861 triphysaria|10v1|BM357063 5818 588 80.51 glotblastn 1861 triphysaria|10v1|BM357063 5818 669 83.35 glotblastn 1862 pseudotsuga|10v1|SRR065119S0003046 5819 588 80.47 glotblastn 1862 pseudotsuga|10v1|SRR065119S0003046 5819 669 81.19 glotblastn 1863 canola|11v1|EE453879_P1 5820 588 80.2 globlastp 1864 spruce|11v1|ES659322 5821 588 80.18 glotblastn 1864 spruce|11v1|ES659322 5821 669 80.62 glotblastn 1865 thellungiella_parvulum|11v1|DN775569 5822 588 80.16 glotblastn 1865 thellungiella_parvulum|11v1|DN775569 5822 669 82.59 glotblastn 1866 canola|11v1|EE451765_P1 5823 588 80.1 globlastp 1866 canola|11v1|EE451765_P1 5823 669 80.1 globlastp 1867 lettuce|12v1|LS12v1CRP091489_P1 5824 588 80.1 globlastp 1867 lettuce|12v1|LS12v1CRP091489_P1 5824 669 81.4 globlastp 1868 switchgrass|12v1|DN144756_T1 5825 588 80.04 glotblastn 1869 foxtail_millet|11v3|PHY7SI002922M_P1 5826 589 97.6 globlastp 1870 sugarcane|10v1|BQ533119 5827 589 96.7 globlastp 1871 millet|10v1|EVO454PM024192_P1 5828 589 96.2 globlastp 1872 sorghum|12v1|SB03G037480 5829 589 96.2 globlastp 1873 switchgrass|12v1|DN150389_P1 5830 589 96.2 globlastp 1874 switchgrass|gb167|DN150389 5831 589 95.7 globlastp 1875 rice|11v1|AA752205 5832 589 93.3 globlastp 1876 brachypodium|12v1|BRADI2G52777_P1 5833 589 88.1 globlastp 1877 oat|11v1|CN820506_P1 5834 589 88.1 globlastp 1878 pseudoroegneria|gb167|FF365257 5835 589 87.1 globlastp 1879 wheat|12v3|BE404799 5836 589 86.7 globlastp 1880 barley|12v1|BF624474_P1 5837 589 86.2 globlastp 1881 leymus|gb166|EG392549_P1 5838 589 85.7 globlastp 1882 oat|11v1|GO593702_T1 5839 589 84.76 glotblastn 1883 rye|12v1|DRR001012.107131 5840 589 83.8 globlastp 1884 lolium|10v1|ES699534_P1 5841 589 82.9 globlastp 1885 sorghum|12v1|SB02G036080 5842 590 89.5 globlastp 1886 switchgrass|12v1|DN143417_P1 5843 590 87.1 globlastp 1887 switchgrass|12v1|FE607440_P1 5844 590 84.7 globlastp 1888 switchgrass|gb167|DN143417 5845 590 84.2 globlastp 1889 foxtail_millet|11v3|PHY7SI032776M_P1 5846 590 83.3 globlastp 1890 sugarcane|10v1|CA067567 5847 590 81.88 glotblastn 1891 sorghum|12v1|SB09G024370 5848 591 90.8 globlastp 1892 foxtail_millet|11v3|PHY7SI022187M_P1 5849 591 86.8 globlastp 1893 switchgrass|12v1|DN142345_P1 5850 591 84.4 globlastp 1894 switchgrass|gb167|DN142345 5851 591 83.7 globlastp 1895 switchgrass|12v1|FE645382_P1 5852 591 83 globlastp 1896 sugarcane|10v1|CA103945 5853 592 92.7 globlastp 1897 foxtail_millet|11v3|PHY7SI026860M_P1 5854 592 89.8 globlastp 1898 sorghum|12v1|SB05G002140 5855 592 85.6 globlastp 1899 rice|11v1|AU055910 5856 592 80.4 globlastp 1900 wheat|12v3|CA617395 5857 593 95.8 globlastp 1901 maize|10v1|AI855306_P1 5858 593 91.7 globlastp 1902 sorghum|12v1|SB12V1CUFF33786T3 5859 593 90.6 globlastp 1903 foxtail_millet|11v3|PHY7SI003476M_P1 5860 593 87.6 globlastp 1904 switchgrass|12v1|SRRl87769.1032073_P1 5861 593 81.2 globlastp 1905 foxtail_millet|11v3|EC612302_P1 5862 594 90.5 globlastp 1906 switchgrass|gb167|DN146578 5863 594 89.66 glotblastn 1907 switchgrass|12v1|FL988994_P1 5864 594 88.3 globlastp 1908 sorghum|12v1|SB06G022600 5865 594 87.8 globlastp 1909 rice|11v1|AA751969 5866 594 81.03 glotblastn 1910 sorghum|12v1|SB02G038410 5867 595 92.1 globlastp 1911 maize|10v1|AW120311_P1 5868 595 91.4 globlastp 1912 sugarcane|10v1|CA164284 5869 595 84.79 glotblastn 1913 sorghum|12v1|SB04G027640 5870 596 90.7 globlastp 1914 switchgrass|12v1|FL786140_P1 5871 596 89.1 globlastp 1915 switchgrass|gb167|FL721485 5872 596 88.7 globlastp 1916 switchgrass|12v1|FL721485_P1 5873 596 87.5 globlastp 1917 foxtail_millet|11v3|PHY7SI017900M_P1 5874 596 87.5 globlastp 1918 millet|10v1|CD726376_P1 5875 596 87.1 globlastp 1919 cenchrus|gb166|EB657574_P1 5876 596 86.3 globlastp 1920 cynodon|10v1|ES295019_P1 5877 596 83.1 globlastp 1921 foxtail_millet|11v3|PHY7SI010534M_P1 5878 598 90.7 globlastp 1922 brachypodium|12v1|BRADI5G17650T2_P1 5879 598 88.2 globlastp 1923 barley|12v1|BM097165_P1 5880 598 87.2 globlastp 1924 rye|12v1|DRR001012.110300 5881 598 87 globlastp 1925 switchgrass|12v1|FE640105_P1 5882 598 86.4 globlastp 1926 switchgrass|12v1|FE631813_P1 5883 598 85.2 globlastp 1927 wheat|12v3|BE500130 5884 598 82.4 globlastp 1928 barley|12v1|BQ753928_P1 5885 598 82.1 globlastp 1929 wheat|12v3|CA607637 5886 598 81.7 globlastp 1930 foxtail_millet|11v3|PHY7SI017738M_P1 5887 598 81.2 globlastp 1931 switchgrass|12v1|FE613606_P1 5888 598 81 globlastp 1932 brachypodium|12v1|BRADI3G50660_P1 5889 598 80.2 globlastp 1933 switchgrass|gb167|FE613606 5890 598 80.2 globlastp 1934 sorghum|12v1|SB04G032930 5891 598 80.1 globlastp 1935 sorghum|12v1|SB05G022970 5892 599 86.9 globlastp 1936 foxtail_millet|11v3|EC612732_P1 5893 599 82.7 globlastp 1937 switchgrass|12v1|FL902137_P1 5894 599 81.1 globlastp 1938 switchgrass|12v1|DN142479_T1 5895 599 81.01 glotblastn 1939 sorghum|12v1|SB07G005620_P1 5896 600 86.6 globlastp 1940 foxtail_millet|11v3|PHY7SI013963M_P1 5897 600 82 globlastp 1941 switchgrass|12v1|FL825596_T1 5898 600 80.7 glotblastn 1942 sorghum|12v1|SB10G012990 5899 601 95.7 globlastp 1943 switchgrass|12v1|FE607208_P1 5900 601 92.7 globlastp 1944 rice|11v1|AU083373 5901 601 90.3 globlastp 1945 wheat|12v3|BE402176 5902 601 89.8 globlastp 1946 brachypodium|12v1|BRADI1G42580_P1 5903 601 89 globlastp 1947 rye|12v1|DRR001012.153298 5904 601 88.14 glotblastn 1948 sugarcane|10v1|CA119301 5905 601 86.3 globlastp 1949 switchgrass|12v1|SRR187765.274141_P1 5906 601 86 globlastp 1950 sugarcane|10v1|BQ533976 5907 601 82.43 glotblastn 1951 barley|12v1|BF262112_P1 5908 601 82.2 globlastp 1952 leymus|gb166|EG380361_P1 5909 601 81.9 globlastp 1953 rye|12v1|DRR001012.108416 5910 601 81.62 glotblastn 1954 maize|10v1|AI941780_T1 5911 601 80.81 glotblastn 1955 brachypodium|12v1|BRADI3G53200_T1 5912 601 80.54 glotblastn 1956 wheat|12v3|BE604097 5913 601 80.54 glotblastn 1957 sorghum|12v1|SB04G030050 5914 601 80.3 globlastp 1958 switchgrass|gb167|DN147068 5915 601 80.11 glotblastn 1959 switchgrass|12v1|DN147068_P1 5916 601 80 globlastp 1960 foxtail_millet|11v3|PHY7SI017132M_P1 5917 601 80 globlastp 1961 rice|11v1|AU031830 5918 601 80 glotblastn 1962 sugarcane|10v1|CA078268 5919 602 96.2 globlastp 1963 sorghum|12v1|SB07G006400 5920 602 95.7 globlastp 1964 foxtail_millet|11v3|PHY7SI014254M_T1 5921 602 93.65 glotblastn 1965 rice|11v1|AU070756 5922 602 90.9 globlastp 1966 switchgrass|12v1|FL973471_P1 5923 602 89 globlastp 1967 millet|10v1|EVO454PM089385_P1 5924 602 86.6 globlastp 1968 switchgrass|12v1|HO310867_P1 5925 602 82.3 globlastp 1969 pseudoroegneria|gb167|FF345388 5926 602 81.2 globlastp 1970 rye|12v1|BE704630 5927 602 81.2 globlastp 1971 rye|12v1|DRR001012.174686 5928 602 81.2 globlastp 1972 wheat|12v3|CA598158 5929 602 81.2 globlastp 1973 brachypodium|12v1|BRADI3G18320_P1 5930 602 80.4 globlastp 1974 sorghum|12v1|SB03G038750 5931 603 95.2 globlastp 1975 foxtail_millet|11v3|PHY7SI001054M_P1 5932 603 91.3 globlastp 1976 rice|11v1|CA763022 5933 603 88 globlastp 1977 brachypodium|12v1|BRADI2G53970_P1 5934 603 85.7 globlastp 1978 wheat|12v3|CA499352 5935 603 84.3 globlastp 1979 wheat|12v3|BE592048 5936 603 83.9 globlastp 1980 rye|12v1|BE494441 5937 603 83.7 globlastp 1981 wheat|12v3|CA597218 5938 603 80.3 globlastp 1982 sorghum|12v1|SB03G041150 5939 604 92.8 globlastp 1983 switchgrass|12v1|FL765239_P1 5940 604 88 globlastp 1984 foxtail_millet|11v3|PHY7SI004487M_P1 5941 604 88 globlastp 1985 millet|10v1|EVO454PM018951_P1 5942 604 82.7 globlastp 1986 foxtail_millet|11v3|EC612408_T1 5943 605 90.65 glotblastn 1987 sorghum|12v1|SB10G023130 5944 605 85.9 globlastp 1988 sugarcane|10v1|CA066507 5945 605 85.7 globlastp 1989 rice|11v1|BI306514 5946 605 84.3 glotblastn 1990 brachypodium|12v1|BRADI1G37020_T1 5947 605 83.88 glotblastn 1991 oat|11v1|CN817174_T1 5948 605 83.88 glotblastn 1992 rye|12v1|DRR001012.106695 5949 605 83.61 glotblastn 1993 wheat|12v3|BE411964 5950 605 83.14 glotblastn 1994 millet|10v1|EVO454PM001039_P1 5951 605 83.1 globlastp 1995 switchgrass|12v1|FE618188_P1 5952 605 83.1 globlastp 1996 switchgrass|gb167|FE618188 5953 605 83.1 globlastp 1997 cenchrus|gb166|EB652675_P1 5954 605 82.9 globlastp 1998 barley|12v1|BF624975_T1 5955 605 82.44 glotblastn 1999 sorghum|12v1|SB07G026140 5956 606 96.6 globlastp 2000 foxtail_millet|11v3|PHY7SI013455M_P1 5957 606 93.9 globlastp 2001 maize|10v1|CD996489_P1 5958 606 93.5 globlastp 2002 rice|11v1|CA748457 5959 606 87.9 globlastp 2003 brachypodium|12v1|BRADI3G41320_P1 5960 606 86.7 globlastp 2004 barley|12v1|AK359805_P1 5961 606 86.1 globlastp 2005 rye|12v1|BE494872 5962 606 85.9 globlastp 2006 wheat|12v3|CD880934 5963 606 85.21 glotblastn 2007 sorghum|12v1|AW284970 5964 607 87.5 globlastp 2008 sorghum|12v1|SB01G009530 5964 607 87.5 globlastp 2009 maize|10v1|AW059954_P1 5965 607 85.7 globlastp 2010 sugarcane|10v1|BQ530027 5966 607 83.57 glotblastn 2011 sorghum|12v1|SB09G022630 5967 608 90.8 globlastp 2012 switchgrass|12v1|FL993342_P1 5968 608 89 globlastp 2013 cenchrus|gb166|EB669554_P1 5969 608 88.1 globlastp 2014 foxtail_millet|11v3|PHY7SI023197M_P1 5970 608 88.1 globlastp 2015 wheat|12v3|BE604061 5971 608 83.5 globlastp 2016 rice|11v1|BI813410 5972 608 83.1 globlastp 2017 switchgrass|gb167|FL993342 5973 608 83.1 globlastp 2018 rye|12v1|DRR001012.828307XX1 5974 608 83 globlastp 2019 barley|12v1|BF626716_P1 5975 608 81.2 globlastp 2020 brachypodium|12v1|BRADI2G23200_P1 5976 608 80.9 globlastp 2021 sugarcane|10v1|CA091367 5977 609 91.2 globlastp 2022 sorghum|12v1|SB06G023260 5978 609 90.5 globlastp 2023 foxtail_millet|11v3|PHY7SI011332M_P1 5979 609 87.3 globlastp 2024 millet|10v1|EVO454PM326349_P1 5980 609 85.5 globlastp 2025 switchgrass|12v1|FE635833_P1 5981 609 82.3 globlastp 2026 switchgrass|12v1|FL965224_P1 5982 609 82.3 globlastp 2027 switchgrass|gb167|FE635833 5982 609 82.3 globlastp 2028 sorghum|12v1|SB10G005040 5983 610 96.1 globlastp 2029 sugarcane|10v1|CA216130 5984 610 94.8 globlastp 2030 foxtail_millet|11v3|PHY7SI007419M_P1 5985 610 91.6 globlastp 2031 wheat|12v3|CA484155 5986 610 89.6 globlastp 2032 switchgrass|gb167|FL980407 5987 610 88.4 globlastp 2033 millet|10v1|EVO454PM167260_P1 5988 610 88.3 globlastp 2034 switchgrass|12v1|FL980407_P1 5989 610 87.7 globlastp 2035 switchgrass|12v1|GD015248_P1 5990 610 87 globlastp 2036 switchgrass|gb167|GD015248 5991 610 87 globlastp 2037 lovegrass|gb167|DN480312_P1 5992 610 81.4 globlastp 2038 sorghum|12v1|SB04G006020 5993 611 92.9 globlastp 2039 maize|10v1|AW054575_P1 5994 611 92.8 globlastp 2040 switchgrass|12v1|FL873296_P1 5995 611 92.1 globlastp 2041 foxtail_millet|11v3|PHY7SI018649M_P1 5996 611 92.1 globlastp 2042 sugarcane|10v1|CA289508 5997 611 92.1 globlastp 2043 maize|10v1|ZMCRP2V222510_T1 5998 611 90.2 glotblastn 2044 sorghum|12v1|SB12V1CRP053042 5999 611 86.49 glotblastn 2045 millet|10v1|EVO454PM554128_P1 6000 611 85.6 globlastp 2046 rice|11v1|BE230517 6001 611 80.8 globlastp 2047 switchgrass|12v1|FL691774_P1 6002 613 90.7 globlastp 2048 foxtail_millet|11v3|PHY7SI005698M_P1 6003 613 90 globlastp 2049 rice|11v1|BM038357_P1 6004 613 88.6 globlastp 2050 brachypodium|12v1|BRADI1G38025_P1 6005 613 88.2 globlastp 2051 switchgrass|12v1|FL810628_P1 6006 613 83.7 globlastp 2052 wheat|12v3|SRR073321X137461D1_T1 6007 613 81.64 glotblastn 2053 sorghum|12v1|SB02G009130 6008 614 85.3 globlastp 2054 foxtail_millet|11v3|PHY7SI028698M_P1 6009 614 84.3 globlastp 2055 foxtail_millet|11v3|PHY7SI028688M_P1 6010 614 84.2 globlastp 2056 sorghum|12v1|SB02G009140 6011 614 83.12 glotblastn 2057 switchgrass|12v1|FE627523_P1 6012 614 83 globlastp 2058 brachypodium|12v1|BRADI1G52740_T1 6013 614 80.2 glotblastn 2059 sorghum|12v1|SB06G015410 6014 615 91.5 globlastp 2060 switchgrass|gb167|FE628616 6015 615 91.1 globlastp 2061 foxtail_millet|11v3|PHY7SI010641M_P1 6016 615 90.5 globlastp 2062 switchgrass|12v1|FE628616_P1 6017 615 89.9 globlastp 2063 sorghum|12v1|SB06G015400 6018 615 88.6 globlastp 2064 brachypodium|12v1|BRADI5G09180_P1 6019 615 86.4 globlastp 2065 barley|12v1|BF261816_P1 6020 615 85.4 globlastp 2066 rye|12v1|DRR001012.136309 6021 615 85.4 globlastp 2067 wheat|12v3|CA694027 6022 615 85.13 glotblastn 2068 pseudoroegneria|gb167|FF346018 6023 615 85.1 globlastp 2069 wheat|12v3|BE638108 6024 615 84.8 globlastp 2070 wheat|12v3|BI479695 6025 615 83.2 globlastp 2071 wheat|12v3|CA618982 6026 616 98.53 glotblastn 2072 sorghum|12v1|SB06G025770 6027 618 93.3 globlastp 2073 foxtail_millet|11v3|PHY7SI010516M_P1 6028 618 91.6 globlastp 2074 switchgrass|12v1|FL941640_P1 6029 618 91 globlastp 2075 switchgrass|12v1|FE618003_P1 6030 618 89.8 globlastp 2076 switchgrass|gb167|FE618003 6030 618 89.8 globlastp 2077 millet|10v1|CD725035_P1 6031 618 84.4 globlastp 2078 brachypodium|12v1|BRADI5G18750_P1 6032 618 81.5 globlastp 2079 switchgrass|12v1|SRR187765.696295_T1 6033 619 86.25 glotblastn 2080 sorghum|12v1|SB03G036325 6034 619 84.15 glotblastn 2081 switchgrass|12v1|FL786883_T1 6035 619 83.75 glotblastn 2082 lovegrass|gb167|DN480814_P1 6036 619 80.7 globlastp 2083 foxtail_millet|11v3|PHY7SI003577M_P1 6037 619 80.5 globlastp 2084 foxtail_millet|11v3|PHY7SI010398M_P1 6038 621 83.6 globlastp 2085 switchgrass|gb167|FE606354 6039 621 81.9 globlastp 2086 millet|10v1|CD725601_P1 6040 621 81.8 globlastp 2087 switchgrass|12v1|DN141325_P1 6041 622 80.5 globlastp 2088 sorghum|12v1|SB07G025120 6042 622 80.35 glotblastn 2089 sorghum|12v1|SB01G016420 6043 623 89.7 globlastp 2090 foxtail_millet|11v3|PHY7SI039879M_P1 6044 623 85.8 globlastp 2091 sorghum|12v1|SB02G029320 6045 624 86.7 globlastp 2092 maize|10v1|CF043867_P1 6046 624 83.1 globlastp 2093 millet|10v1|EVO454PM458631_P1 6047 624 82 globlastp 2094 foxtail_millet|11v3|PHY7SI031193M_P1 6048 624 81.2 globlastp 2095 sorghum|12v1|SB03G043280 6049 625 94.2 globlastp 2096 foxtail_millet|11v3|PHY7SI005148M_T1 6050 625 87.67 glotblastn 2097 foxtail_millet|11v3|PHY7SI002757M_P1 6051 627 86.1 globlastp 2098 sorghum|12v1|SB03G009060 6052 627 84.1 globlastp 2099 switchgrass|12v1|FL726886_P1 6053 627 82.1 globlastp 2100 sorghum|12v1|SB01G046350 6054 629 86.9 globlastp 2101 sugarcane|10v1|CA074330 630 630 100 globlastp 2102 sorghum|12v1|SB07G022630 6055 630 99.6 globlastp 2103 switchgrass|12v1|DN140969_P1 6056 630 98.4 globlastp 2104 switchgrass|gb167|DN140969 6056 630 98.4 globlastp 2105 switchgrass|12v1|FE645210_P1 6056 630 98.4 globlastp 2106 switchgrass|gb167|FE645210 6056 630 98.4 globlastp 2107 cenchrus|gb166|EB657452_P1 6057 630 98 globlastp 2108 foxtail_millet|11v3|EC613322_P1 6058 630 98 globlastp 2109 barley|12v1|BE411312_P1 6059 630 95.9 globlastp 2110 brachypodium|12v1|BRADI1G19960_P1 6060 630 95.9 globlastp 2111 oat|11v1|GO581906_P1 6061 630 95.9 globlastp 2112 pseudoroegneria|gb167|FF343605 6059 630 95.9 globlastp 2113 wheat|12v3|BE419677 6059 630 95.9 globlastp 2114 lolium|10v1|AU245785_T1 6062 630 95.51 glotblastn 2115 leymus|gb166|EG396954_P1 6063 630 95.5 globlastp 2116 rice|11v1|BI802985 6064 630 95.5 globlastp 2117 rye|12v1|BE704628 6065 630 95.5 globlastp 2118 rye|12v1|DRR001012.125579 6065 630 95.5 globlastp 2119 oat|11v1|GO583055_P1 6066 630 95.1 globlastp 2120 peanut|10v1|EE127200_P1 6067 630 93.9 globlastp 2121 peanut|10v1|ES724140_P1 6068 630 93.9 globlastp 2122 pigeonpea|11v1|SRR054580X109465_P1 6069 630 93.9 globlastp 2123 cowpea|12v1|FF391074_P1 6070 630 93.5 globlastp 2124 oil_palm|11v1|EY411468_P1 6071 630 93.5 globlastp 2125 pigeonpea|11v1|SRR054580X109236_P1 6072 630 93.5 globlastp 2126 banana|12v1|BBS1822T3_P1 6073 630 93.1 globlastp 2127 bean|12v1|CA898112 6074 630 93.1 globlastp 2128 cowpea|12v1|FF395868_P1 6075 630 93.1 globlastp 2129 flaveria|11v1|SRR149229.14060_P1 6076 630 93.1 globlastp 2130 flaveria|11v1|SRR149229.271685_P1 6076 630 93.1 globlastp 2131 flaveria|11v1|SRR149232.133345_P1 6077 630 93.1 globlastp 2132 flaveria|11v1|SRR149232.23150_P1 6076 630 93.1 globlastp 2133 soybean|11v1|GLYMA09G28640 6078 630 93.1 globlastp 2134 soybean|12v1|GLYMA09G28640_P1 6078 630 93.1 globlastp 2135 soybean|11v1|GLYMA16G33360 6079 630 93.1 globlastp 2136 soybean|12v1|GLYMA16G33370T4_P1 6079 630 93.1 globlastp 2137 soybean|11v1|GLYMA20G35750 6080 630 93.1 globlastp 2138 soybean|12v1|GLYMA20G35750_P1 6080 630 93.1 globlastp 2139 bean|12v2|CA899890_P1 6081 630 92.7 globlastp 2140 cirsium|11v1|SRR346952.1018515_P1 6082 630 92.7 globlastp 2141 cirsium|11v1|SRR346952.111639_P1 6082 630 92.7 globlastp 2142 coffea|10v1|DV666851_P1 6083 630 92.7 globlastp 2143 dandelion|10v1|DR399058_P1 6084 630 92.7 globlastp 2144 lettuce|12v1|DW063622_P1 6085 630 92.7 globlastp 2145 platanus|11v1|SRR096786X101590_P1 6086 630 92.7 globlastp 2146 centaurea|11v1|EH778178_P1 6082 630 92.7 globlastp 2147 centaurea|11v1|EH718595_P1 6082 630 92.7 globlastp 2148 centaurea|11v1|EH717068_T1 6087 630 92.65 glotblastn 2149 ambrosia|11v1|SRR346946.101372_T1 6088 630 92.24 glotblastn 2150 prunus_mume|13v1|BU039610_P1 6089 630 92.2 globlastp 2151 ambrosia|11v1|SRR346935.325236_P1 6090 630 92.2 globlastp 2152 ambrosia|11v1|SRR346943.104742_P1 6090 630 92.2 globlastp 2153 arnica|11v1|SRR099034X132474_P1 6090 630 92.2 globlastp 2154 chelidonium|11v1|SRR084752X107741_P1 6091 630 92.2 globlastp 2155 flaveria|11v1|SRR149229.163723_P1 6090 630 92.2 globlastp 2156 hornbeam|12v1|SRR364455.105073_P1 6092 630 92.2 globlastp 2157 ipomoea_nil|10v1|CJ739977_P1 6093 630 92.2 globlastp 2158 prunus|10v1|BU039610 6089 630 92.2 globlastp 2159 sunflower|12v1|CD851643 6090 630 92.2 globlastp 2160 sunflower|12v1|CD851651 6090 630 92.2 globlastp 2161 sunflower|12v1|EE633004 6090 630 92.2 globlastp 2162 olea|13v1|SRR014464X11134D1_P1 6094 630 92.2 globlastp 2163 centaurea|gb166|EH766091 6095 630 91.84 glotblastn 2164 gerbera|09v1|AJ762871_T1 6096 630 91.84 glotblastn 2165 platanus|11v1|SRR096786X103251_T1 6097 630 91.84 glotblastn 2166 sunflower|12v1|ERR029545X40874 6098 630 91.84 glotblastn 2167 ambrosia|11v1|SRR346943.116300_P1 6099 630 91.8 globlastp 2168 apple|11v1|CN876664_P1 6100 630 91.8 globlastp 2169 cassava|09v1|DV441101_P1 6101 630 91.8 globlastp 2170 castorbean|12v1|GE633432_P1 6102 630 91.8 globlastp 2171 centaurea|gb166|EH717068 6103 630 91.8 globlastp 2172 eucalyptus|11v2|CD668611_P1 6104 630 91.8 globlastp 2173 oil_palm|11v1|EL693601_P1 6105 630 91.8 globlastp 2174 phyla|11v2|SRR099035X101156_P1 6106 630 91.8 globlastp 2175 vinca|11v1|SRR098690X104175 6107 630 91.8 globlastp 2176 blueberry|12v1|SRR353282X1807D1_T1 6108 630 91.43 glotblastn 2177 fraxinus|11v1|SRR058827.113024_T1 6109 630 91.43 glotblastn 2178 olea|13v1|SRR592583X161174D1_P1 6110 630 91.4 globlastp 2179 amorphophallus|11v2|SRR089351X102088_P1 6111 630 91.4 globlastp 2180 amsonia|11v1|SRR098688X107510_P1 6112 630 91.4 globlastp 2181 aristolochia|10v1|FD750472_P1 6113 630 91.4 globlastp 2182 chickpea|11v1|SRR133517.148214 6114 630 91.4 globlastp 2183 chickpea|13v2|SRR133517.148214_P1 6114 630 91.4 globlastp 2184 cotton|11v1|CO092137_P1 6115 630 91.4 globlastp 2185 ginger|gb164|DY345402_P1 6116 630 91.4 globlastp 2186 gossypium_raimondii|12v1|BG442956_P1 6115 630 91.4 globlastp 2187 rose|12v1|BQ104637 6117 630 91.4 globlastp 2188 tabernaemontana|11v1|SRR098689X102299 6118 630 91.4 globlastp 2189 tobacco|gb162|CV019233 6119 630 91.4 globlastp 2190 banana|12v1|FL647015_T1 6120 630 91.02 glotblastn 2191 eschscholzia|11v1|SRR014116.122571_T1 6121 630 91.02 glotblastn 2192 bean|12v2|CA898112_P1 6122 630 91 globlastp 2193 artemisia|10v1|EY074664_P1 6123 630 91 globlastp 2194 basilicum|10v1|DY325692_P1 6124 630 91 globlastp 2195 blueberry|12v1|SRR353282X14043D1_P1 6125 630 91 globlastp 2196 cacao|10v1|CU481646_P1 6126 630 91 globlastp 2197 cotton|11v1|CO089165_P1 6127 630 91 globlastp 2198 humulus|11v1|EX518234_P1 6128 630 91 globlastp 2199 ipomoea_nil|10v1|BJ563148_P1 6129 630 91 globlastp 2200 monkeyflower|10v1|CV520116 6130 630 91 globlastp 2201 monkeyflower|12v1|CV520116_P1 6130 630 91 globlastp 2202 nasturtium|11v1|SRR032558.102424_P1 6131 630 91 globlastp 2203 orange|11v1|CB305130_P1 6132 630 91 globlastp 2204 pepper|12v1|GD094722_P1 6133 630 91 globlastp 2205 strawberry|11v1|SRR034866S0006579 6134 630 91 globlastp 2206 tomato|11v1|BG133635 6135 630 91 globlastp 2207 triphysaria|10v1|EY128411 6136 630 91 globlastp 2208 vinca|11v1|SRR098690X119964 6137 630 91 globlastp 2209 nicotiana_benthamiana|12v1|BP744332_T1 6138 630 90.61 glotblastn 2210 poplar|13v1|AI165542_P1 6139 630 90.6 globlastp 2211 catharanthus|11v1|SRR098691X111547_P1 6140 630 90.6 globlastp 2212 clementine|11v1|CB305130_P1 6141 630 90.6 globlastp 2213 gossypium_raimondii|12v1|BG445200_P1 6142 630 90.6 globlastp 2214 grape|11v1|GSVIVT01022313001_P1 6143 630 90.6 globlastp 2215 humulus|11v1|EX516492_P1 6144 630 90.6 globlastp 2216 jatropha|09v1|GT228596_P1 6145 630 90.6 globlastp 2217 kiwi|gb166|FG412659_P1 6146 630 90.6 globlastp 2218 orange|11v1|CF830428_P1 6147 630 90.6 globlastp 2219 poplar|10v1|AI165542 6139 630 90.6 globlastp 2220 potato|10v1|BG095663_P1 6148 630 90.6 globlastp 2221 sesame|12v1|BU670488 6149 630 90.6 globlastp 2222 solanum_phureja|09v1|SPHBG133635 6148 630 90.6 globlastp 2223 triphysaria|10v1|EX989885 6150 630 90.6 globlastp 2224 vinca|11v1|SRR098690X101652 6151 630 90.6 globlastp 2225 aquilegia|10v2|DR918066_P1 6152 630 90.2 globlastp 2226 arabidopsis_lyrata|09v1|JGIAL018820_P1 6153 630 90.2 globlastp 2227 canola|11v1|DY030272_P1 6154 630 90.2 globlastp 2228 clementine|11v1|CF830428_P1 6155 630 90.2 globlastp 2229 euphorbia|11v1|SRR098678X133629_P1 6156 630 90.2 globlastp 2230 fagopyrum|11v1|SRR063703X101104_P1 6157 630 90.2 globlastp 2231 radish|gb164|EV528078 6158 630 90.2 globlastp 2232 radish|gb164|EV546258 6159 630 90.2 globlastp 2233 radish|gb164|EW731449 6158 630 90.2 globlastp 2234 silene|11v1|SRR096785X153172 6160 630 90.2 globlastp 2235 tripterygium|11v1|SRR098677X104866 6161 630 90.2 globlastp 2236 tripterygium|11v1|SRR098677X115523 6162 630 90.2 globlastp 2237 valeriana|11v1|SRR099039X110396 6163 630 90.2 globlastp 2238 arabidopsis|10v1|AT3G55620_P1 6164 630 89.8 globlastp 2239 b_rapa|11v1|CD830217_P1 6165 630 89.8 globlastp 2240 canola|11v1|CN735659_P1 6166 630 89.8 globlastp 2241 canola|11v1|EE405557_P1 6165 630 89.8 globlastp 2242 lovegrass|gb167|EH184810_P1 6167 630 89.8 globlastp 2243 strawberry|11v1|DV440665 6168 630 89.8 globlastp 2244 canola|11v1|CN730372_P1 6169 630 89.4 globlastp 2245 podocarpus|10v1|SRR065014S0011263_P1 6170 630 89.4 globlastp 2246 b_rapa|11v1|CX187538_P1 6171 630 89 globlastp 2247 catharanthus|11v1|SRR098691X113394_P1 6172 630 89 globlastp 2248 chickpea|11v1|FE672990 6173 630 89 globlastp 2249 chickpea|13v2|FE672990_P1 6173 630 89 globlastp 2250 euonymus|11v1|SRR070038X172289_P1 6174 630 89 globlastp 2251 euonymus|11v1|SRR070038X414930_P1 6174 630 89 globlastp 2252 monkeyflower|10v1|GR067455 6175 630 89 globlastp 2253 monkeyflower|12v1|GR067455_P1 6175 630 89 globlastp 2254 phyla|11v2|SRR099037X113124_P1 6176 630 89 globlastp 2255 silene|11v1|GH292754 6177 630 89 globlastp 2256 silene|11v1|SRR096785X102821 6178 630 89 globlastp 2257 thellungiella_parvulum|11v1|DN773718 6179 630 88.98 glotblastn 2258 thellungiella_parvulum|11v1|EPCRP019003 6180 630 88.98 glotblastn 2259 cacao|10v1|CU472943_P1 6181 630 88.6 globlastp 2260 poppy|11v1|SRR030259.114710_P1 6182 630 88.6 globlastp 2261 primula|11v1|SRR098679X121424_P1 6183 630 88.6 globlastp 2262 watermelon|11v1|AB182929 6184 630 88.6 globlastp 2263 flax|11v1|JG026727_T1 6185 630 88.57 glotblastn 2264 medicago|12v1|XM_003622325_T1 6186 630 88.57 glotblastn 2265 sarracenia|11v1|SRR192669.129090 6187 630 88.57 glotblastn 2266 spurge|gb161|DV125160 6188 630 88.57 glotblastn 2267 utricularia|11v1|SRR094438.122965 6189 630 88.21 glotblastn 2268 zostera|12v1|SRR057351X106670D1_P1 6190 630 88.2 globlastp 2269 kiwi|gb166|FG484183_P1 6191 630 88.2 globlastp 2270 poplar|10v1|AI164646 6192 630 88.2 globlastp 2271 poplar|13v1|AI164646_P1 6192 630 88.2 globlastp 2272 poppy|11v1|SRR030259.12644_P1 6193 630 88.2 globlastp 2273 sciadopitys|10v1|SRR065035S0036449 6194 630 88.2 globlastp 2274 taxus|10v1|SRR032523S0028155 6195 630 88.2 globlastp 2275 zostera|10v1|SRR057351S0004096 6190 630 88.2 globlastp 2276 thellungiella_halophilum|11v1|DN773718 6196 630 88.16 glotblastn 2277 ambrosia|11v1|SRR346943.107730_T1 6197 630 87.8 glotblastn 2278 clover|gb162|AB236812_P1 6198 630 87.8 globlastp 2279 cucurbita|11v1|FG227176_P1 6199 630 87.8 globlastp 2280 distylium|11v1|SRR065077X101454_P1 6200 630 87.8 globlastp 2281 flaveria|11v1|SRR149229.190286_P1 6201 630 87.8 globlastp 2282 medicago|12v1|BE240689_P1 6202 630 87.8 globlastp 2283 melon|10v1|EB715694_P1 6203 630 87.8 globlastp 2284 phalaenopsis|11v1|SRR125771.1006537_P1 6204 630 87.8 globlastp 2285 phalaenopsis|11v1|SRR125771.1011733_P1 6204 630 87.8 globlastp 2286 pine|10v2|BM903098_P1 6205 630 87.8 globlastp 2287 cannabis|12v1|SOLX00042286_P1 6206 630 87.6 globlastp 2288 beet|12v1|AJ009737_P1 6207 630 87.4 globlastp 2289 beech|11v1|SRR006294.12431_P1 6208 630 87.3 globlastp 2290 maritime_pine|10v1|CR392997_P1 6209 630 87.3 globlastp 2291 oak|10v1|SRR039734S0110825_P1 6210 630 87.3 globlastp 2292 pine|10v2|AA557111_P1 6211 630 87.3 globlastp 2293 pine|10v2|AW226483_P1 6211 630 87.3 globlastp 2294 spruce|11v1|EX365100 6212 630 87.3 globlastp 2295 spruce|11v1|SRR064180X498651 6212 630 87.3 globlastp 2296 radish|gb164|EV528120 6213 630 87 globlastp 2297 maritime_pine|10v1|SRR073317S0018081_T1 6214 630 86.94 glotblastn 2298 abies|11v2|SRR098676X100878_P1 6215 630 86.9 globlastp 2299 cedrus|11v1|SRR065007X116945_P1 6216 630 86.9 globlastp 2300 cryptomeria|gb166|BW994649_P1 6217 630 86.9 globlastp 2301 cucumber|09v1|EB715694_P1 6218 630 86.9 globlastp 2302 eschscholzia|11v1|SRR014116.100907_P1 6219 630 86.9 globlastp 2303 euonymus|11v1|SRR070038X112495_P1 6220 630 86.9 globlastp 2304 melon|10v1|VMEL01698615123105_P1 6221 630 86.9 globlastp 2305 momordica|10v1|SRR071315S0001316_P1 6222 630 86.9 globlastp 2306 petunia|gb171|CV295494_P1 6223 630 86.9 globlastp 2307 spruce|11v1|ES253826 6224 630 86.9 globlastp 2308 spruce|11v1|ES867709 6225 630 86.9 globlastp 2309 spruce|11v1|ES873855 6226 630 86.9 globlastp 2310 spruce|11v1|EX361955 6224 630 86.9 globlastp 2311 zamia|gb166|DY030845 6227 630 86.9 globlastp 2312 peach|gb157.2|BU039610_P1 6228 630 86.6 globlastp 2313 oak|10v1|DB997678_T1 6229 630 86.53 glotblastn 2314 maritime_pine|10v1|SRR073317S0142793_T1 — 630 86.53 glotblastn 2315 cephalotaxus|11v1|SRR064395X100214_P1 6230 630 86.5 globlastp 2316 chestnut|gb170|SRR006295S0008134_P1 6231 630 86.5 globlastp 2317 cycas|gb166|CB088723_P1 6232 630 86.5 globlastp 2318 pseudotsuga|10v1|SRR065119S0002809 6233 630 86.5 globlastp 2319 spruce|11v1|CO237150 6234 630 86.5 globlastp 2320 fagopyrum|11v1|SRR063689X102968_P1 6235 630 86.2 globlastp 2321 flaveria|11v1|SRR149229.107405_T1 6236 630 86.12 glotblastn 2322 pine|10v2|BX254326_T1 6237 630 86.12 glotblastn 2323 cucumber|09v1|DV633817_P1 6238 630 86.1 globlastp 2324 pine|10v2|GW754514_T1 6239 630 85.71 glotblastn 2325 centaurea|gb166|EH720361 6240 630 85.7 globlastp 2326 cephalotaxus|11v1|SRR064395X125095_P1 6241 630 85.7 globlastp 2327 cirsium|11v1|SRR346952.1010767_P1 6242 630 85.7 globlastp 2328 cynara|gb167|GE579606_P1 6243 630 85.7 globlastp 2329 maritime_pine|10v1|BX254326_P1 6244 630 85.7 globlastp 2330 pigeonpea|11v1|CCIIPG11047741_P1 6245 630 85.7 globlastp 2331 plantago|11v2|SRR066373X110993_P1 6246 630 85.7 globlastp 2332 sequoia|10v1|SRR065044S0000781 6247 630 85.7 globlastp 2333 watermelon|11v1|AM713836 6248 630 85.6 globlastp 2334 ambrosia|11v1|SRR346943.201002_T1 6249 630 85.31 glotblastn 2335 sunflower|12v1|AJ539803 6250 630 85.3 globlastp 2336 ambrosia|11v1|SRR346935.133099_P1 6251 630 84.9 globlastp 2337 ambrosia|11v1|SRR346943.101825_P1 6252 630 84.9 globlastp 2338 cichorium|gb171|EH691582_P1 6253 630 84.9 globlastp 2339 gnetum|10v1|EX948582_P1 6254 630 84.9 globlastp 2340 lettuce|12v1|DW060380_P1 6255 630 84.9 globlastp 2341 orobanche|10v1|SRR023189S0001320_P1 6256 630 84.9 globlastp 2342 pteridium|11v1|SRR043594X105316 6257 630 84.9 globlastp 2343 ambrosia|11v1|SRR346935.107518_P1 6258 630 84.5 globlastp 2344 cotton|11v1|BG445200_P1 6259 630 84.5 globlastp 2345 pigeonpea|11v1|SRR054580X101723_P1 6260 630 84.5 globlastp 2346 arnica|11v1|SRR099034X119021_T1 6261 630 84.49 glotblastn 2347 ambrosia|11v1|SRR346943.43314_P1 6262 630 84.1 globlastp 2348 cirsium|11v1|SRR346952.106650_P1 6263 630 84.1 globlastp 2349 dandelion|10v1|DY819410_P1 6264 630 83.7 globlastp 2350 flaveria|11v1|SRR149229.135585_P1 6265 630 83.5 globlastp 2351 ceratodon|10v1|SRR074890S0022247_P1 6266 630 83.3 globlastp 2352 olea|11v1|SRR014464.11134 6267 630 83.3 globlastp 2353 physcomitrella|10v1|BJ174885_P1 6268 630 83.3 globlastp 2354 cichorium|gb171|EH690915_T1 6269 630 83.27 glotblastn 2355 physcomitrella|10v1|BJ174601_P1 6270 630 82.9 globlastp 2356 radish|gb164|EV537845 6271 630 82.9 globlastp 2357 antirrhinum|gb166|AJ794343_P1 6272 630 82.6 globlastp 2358 millet|10v1|EVO454PM008575_P1 6273 630 82.4 globlastp 2359 spikemoss|gb165|FE466723 6274 630 82 globlastp 2360 poplar|10v1|POPTR0008S03180 6275 630 81.71 glotblastn 2361 parthenium|10v1|GW778698_T1 6276 630 81.63 glotblastn 2362 guizotia|10v1|GE573642_P1 6277 630 81.6 globlastp 2363 fraxinus|11v1|SRR058827.110343_P1 6278 630 81.2 globlastp 2364 spikemoss|gb165|FE467241 6279 630 81.2 globlastp 2365 brachypodium|12v1|BRADI2G10857_P1 6280 630 80.9 globlastp 2366 cleome_gynandra|10v1|SRR015532S0066348_P1 6281 630 80.8 globlastp 2367 petunia|gb171|CV299721_P1 6282 630 80.4 globlastp 2368 safflower|gb162|EL408052 6283 630 80.4 globlastp 2369 centaurea|11v1|EH720361_P1 6284 630 80 globlastp 2370 ambrosia|11v1|SRR346935.80808_P1 6285 630 80 globlastp 2371 onion|12v1|SRR073446X111037D1_P1 6286 630 80 globlastp 2372 sorghum|12v1|SB04G002670 6287 631 88.5 globlastp 2373 maize|10v1|AW231612_P1 6288 631 85.4 globlastp 2374 foxtail_millet|11v3|PHY7SI016813M_P1 6289 631 81.8 globlastp 2375 sorghum|12v1|SB06G020170 6290 632 91.9 globlastp 2376 maize|10v1|BE224944_P1 6291 632 91.7 globlastp 2377 foxtail_millet|11v3|PHY7SI009805M_P1 6292 632 86.5 globlastp 2378 foxtail_millet|11v3|SIPRD090813_T1 6293 632 84.86 glotblastn 2379 switchgrass|12v1|FE612283_P1 6294 633 90.1 globlastp 2380 brachypodium|12v1|BRADI1G08400_P1 6295 633 87.9 globlastp 2381 rye|12v1|DRR001012.121069 6296 633 87.6 globlastp 2382 wheat|12v3|CJ952926 6297 633 87 globlastp 2383 barley|12v1|AF406643_P1 6298 633 85.8 globlastp 2384 foxtail_millet|11v3|PHY7SI034030M_P1 6299 633 83.5 globlastp 2385 switchgrass|12v1|FL716316_P1 6300 640 81.2 globlastp 2386 switchgrass|gb167|FL716316 6301 640 81.15 glotblastn 2387 rice|11v1|BI795969 6302 641 81.8 globlastp 2388 brachypodium|12v1|BRADI3G47800_P1 6303 643 93.2 globlastp 2389 wheat|12v3|BQ237777 6304 643 92.1 globlastp 2390 foxtail_millet|11v3|EC613250_P1 6305 643 91.5 globlastp 2391 sorghum|12v1|SB04G024980 6306 643 90.8 globlastp 2392 maize|10v1|AI612429_P1 6307 643 90.5 globlastp 2393 switchgrass|12v1|FE647683_P1 6308 643 90.3 globlastp 2394 maize|10v1|AI737219_P1 6309 643 89.4 globlastp 2395 oil_palm|11v1|SRR190698.108780_P1 6310 643 88.3 globlastp 2396 oil_palm|11v1|EL692446_P1 6311 643 88.1 globlastp 2397 amborella|12v3|SRR038635.94614_P1 6312 643 87.1 globlastp 2398 banana|12v1|MAGEN2012018109_P1 6313 643 86.2 globlastp 2399 amorphophallus|11v2|SRR089351X111818_T1 6314 643 85.75 glotblastn 2400 solanum_phureia|09v1|SPHAW737348 6315 643 85.5 globlastp 2401 eucalyptus|11v2|CD668409_P1 6316 643 85.1 globlastp 2402 tomato|11v1|AW737348 6317 643 85.1 globlastp 2403 zostera|10v1|AM768454 6318 643 85.05 glotblastn 2404 cotton|11v1|AW587510_P1 6319 643 85 globlastp 2405 gossypium_raimondii|12v1|AW587510_P1 6319 643 85 globlastp 2406 phalaenopsis|11v1|SRR125771.1048758_P1 6320 643 85 globlastp 2407 phyla|11v2|SRR099035X121463_T1 6321 643 84.88 glotblastn 2408 castorbean|11v1|EG656596 6322 643 84.8 globlastp 2409 castorbean|12v1|EG656596_P1 6322 643 84.8 globlastp 2410 cucumber|09v1|DV737753_P1 6323 643 84.8 globlastp 2411 watermelon|11v1|AM732207 6324 643 84.8 globlastp 2412 nicotiana_benthamiana|12v1|FG135243_P1 6325 643 84.7 globlastp 2413 tabernaemontana|11v1|SRR098689X112646 6326 643 84.65 glotblastn 2414 cassava|09v1|FF534723_P1 6327 643 84.6 globlastp 2415 melon|10v1|AM732207_P1 6328 643 84.6 globlastp 2416 ambrosia|11v1|SRR346935.178950_P1 6329 643 84.5 globlastp 2417 nicotiana_benthamiana|12v1|BP751817_P1 6330 643 84.4 globlastp 2418 pigeonpea|11v1|SRR054580X1028_P1 6331 643 84.4 globlastp 2419 valeriana|11v1|SRR099039X113384 6332 643 84.2 globlastp 2420 banana|12v1|ES431755_P1 6333 643 84.1 globlastp 2421 bean|12v1|SRR001335.264127 6334 643 84.1 globlastp 2422 beet|12v1|BQ589904_P1 6335 643 84.1 globlastp 2423 oak|10v1|FP045293_P1 6336 643 84.1 globlastp 2424 poplar|10v1|AI163495 6337 643 84.1 globlastp 2425 poplar|13v1|AI163495_P1 6337 643 84.1 globlastp 2426 poplar|10v1|DT476741 6338 643 84.1 globlastp 2427 poplar|13v1|DT476741_P1 6338 643 84.1 globlastp 2428 ambrosia|11v1|SRR346935.100892_P1 6339 643 84 globlastp 2429 banana|12v1|BBS21T3_P1 6340 643 84 globlastp 2430 monkeyflower|10v1|GR060921 6341 643 84 globlastp 2431 monkeyflower|12v1|GR113891_P1 6341 643 84 globlastp 2432 ambrosia|11v1|SRR346935.118239_T1 6342 643 83.99 glotblastn 2433 bean|12v2|SRR001335.264127_P1 6343 643 83.9 globlastp 2434 soybean|12v1|GLYMA08G13770_P1 6344 643 83.9 globlastp 2435 euphorbia|11v1|DV133781_P1 6345 643 83.9 globlastp 2436 amsonia|11v1|SRR098688X106392_P1 6346 643 83.7 globlastp 2437 beech|11v1|SRR006294.24743_T1 6347 643 83.68 glotblastn 2438 peanut|10v1|GO268027_T1 6348 643 83.68 glotblastn 2439 orange|11v1|CB304651_P1 6349 643 83.6 globlastp 2440 spurge|gb161|DV133781 6350 643 83.6 globlastp 2441 zostera|12v1|SRR057351X20488D1_T1 6318 643 83.41 glotblastn 2442 apple|11v1|CN996714_P1 6351 643 83.4 globlastp 2443 poppy|11v1|SRR030259.109492_P1 6352 643 83.4 globlastp 2444 soybean|11v1|GLYMA05G30630 6353 643 83.4 globlastp 2445 soybean|12v1|GLYMA05G30630_P1 6353 643 83.4 globlastp 2446 tobacco|gb162|GFXAM711117X1 6354 643 83.4 globlastp 2447 trigonella|11v1|SRR066194X103705 6355 643 83.4 globlastp 2448 bean|12v2|FG229148_P1 6356 643 83.2 globlastp 2449 strawberry|11v1|DY667941 6357 643 83.2 globlastp 2450 flaveria|11v1|SRR149229.109258_P1 6358 643 83.1 globlastp 2451 monkeyflower|10v1|GR021687 6359 643 83 globlastp 2452 monkeyflower|12v1|GR171697_P1 6359 643 83 globlastp 2453 prunus_mume|13v1|BU048518_P1 6360 643 82.9 globlastp 2454 prunus|10v1|BU048518 6360 643 82.9 globlastp 2455 chickpea|13v2|GR394918_P1 6361 643 82.8 globlastp 2456 solanum_phureja|09v1|SPHAW217173 6362 643 82.8 globlastp 2457 soybean|11v1|GLYMA08G13810 6363 643 82.8 globlastp 2458 soybean|12v1|GLYMA08G13810_P1 6363 643 82.8 globlastp 2459 tomato|11v1|AW217173 6364 643 82.8 globlastp 2460 cirsium|11v1|SRR346952.1024359_P1 6365 643 82.7 globlastp 2461 cotton|11v1|AW187180_P1 6366 643 82.7 globlastp 2462 gossypium_raimondii|12v1|DT558220_P1 6367 643 82.7 globlastp 2463 centaurea|11v1|EH725998_P1 6368 643 82.7 globlastp 2464 apple|11v1|CN496063_P1 6369 643 82.5 globlastp 2465 cassava|09v1|DB920810_P1 6370 643 82.5 globlastp 2466 cotton|11v1|CO072400XX1_P1 6371 643 82.5 globlastp 2467 lettuce|12v1|DW059332_P1 6372 643 82.4 globlastp 2468 cephalotaxus|11v1|SRR064395X109174_T1 6373 643 82.24 glotblastn 2469 pine|10v2|BX251480_P1 6374 643 82 globlastp 2470 thellungiella_halophilum|11v1|BY816883 6375 643 81.8 globlastp 2471 lettuce|12v1|DW050733_P1 6376 643 81.7 globlastp 2472 maritime_pine|10v1|BX251480_P1 6377 643 81.5 globlastp 2473 pigeonpea|11v1|SRR054580X131417_P1 6378 643 81.4 globlastp 2474 arabidopsis|10v1|AT1G13180_P1 6379 643 81.3 globlastp 2475 centaurea|gb166|EH715416 6380 643 81.3 globlastp 2476 spruce|11v1|ES255727 6381 643 81.3 globlastp 2477 arabidopsis_lyrata|09v1|JGIAL001380_P1 6382 643 81.1 globlastp 2478 thellungiella_parvulum|11v1|BY816884 6383 643 81.1 globlastp 2479 pseudotsuga|10v1|SRR065119S0022026 6384 643 81.07 glotblastn 2480 cacao|10v1|CU541357_T1 6385 643 80.67 glotblastn 2481 b_rapa|11v1|DY025861_P1 6386 643 80.4 globlastp 2482 canola|11v1|EE464831_P1 6387 643 80.4 globlastp 2483 canola|11v1|EE466498_P1 6386 643 80.4 globlastp 2484 canola|11v1|SRR329661.125838_P1 6388 643 80.4 globlastp 2485 medicago|12v1|BF638396_T1 6389 643 80.37 glotblastn 2486 b_rapa|11v1|DW998855_P1 6390 643 80.1 globlastp 2487 sugarcane|10v1|CA065339_P1 6391 644 98.2 globlastp 2488 maize|10v1|AI948098_P1 6392 644 91.9 globlastp 2489 switchgrass|12v1|FE617860_P1 6393 644 88.8 globlastp 2490 foxtail_millet|11v3|EC613703_P1 6394 644 87.8 globlastp 2491 switchgrass|12v1|FE647199_T1 6395 644 86.96 glotblastn 2492 millet|10v1|CD726439_T1 6396 644 85.22 glotblastn 2493 cynodon|10v1|ES296885_P1 6397 644 83.5 globlastp 2494 lovegrass|gb167|DN482827_P1 6398 644 81.7 globlastp 2495 rice|11v1|BE039995_P1 6399 644 81.2 globlastp 2496 barley|12v1|BI958660_P1 6400 644 80.5 globlastp 2497 maize|10v1|AI001223_P1 645 645 100 globlastp 2498 cenchrus|gb166|EB656881_P1 6401 645 99.3 globlastp 2499 maize|10v1|AI855312_P1 6402 645 99.3 globlastp 2500 millet|10v1|CD725181_P1 6401 645 99.3 globlastp 2501 millet|10v1|EVO454PM072876_P1 6401 645 99.3 globlastp 2502 wheat|12v3|CA485423 6402 645 99.3 globlastp 2503 foxtail_millet|11v3|PHY7SI031386M_P1 6403 645 98.7 globlastp 2504 lovegrass|gb167|DN481142_P1 6404 645 98.7 globlastp 2505 rice|11v1|BE039677 6405 645 98.7 globlastp 2506 rice|11v1|BI794989 6405 645 98.7 globlastp 2507 sugarcane|10v1|CA077917 6406 645 98.7 globlastp 2508 switchgrass|gb167|DN140712 6407 645 98.7 globlastp 2509 switchgrass|gb167|FE605366 6403 645 98.7 globlastp 2510 switchgrass|gb167|FL716932 6403 645 98.7 globlastp 2511 switchgrass|12v1|FL716932_P1 6403 645 98.7 globlastp 2512 foxtail_millet|11v3|PHY7SI003223M_P1 6408 645 98 globlastp 2513 sorghum|12v1|SB02G004110 6409 645 98 globlastp 2514 sugarcane|10v1|CA070342 6410 645 98 globlastp 2515 sugarcane|10v1|CA103755 6410 645 98 globlastp 2516 switchgrass|gb167|DN146891 6408 645 98 globlastp 2517 switchgrass|12v1|DN140712_P1 6408 645 98 globlastp 2518 brachypodium|12v1|BRADI1G05670_P1 6411 645 96.7 globlastp 2519 rice|11v1|AU031512 6412 645 94.7 globlastp 2520 rice|11v1|BI797945 6413 645 94.7 globlastp 2521 switchgrass|12v1|FE605366_P1 6414 645 94.3 globlastp 2522 brachypodium|12v1|BRADI1G55980_P1 6415 645 93.4 globlastp 2523 barley|12v1|BF621440_P1 6416 645 92.8 globlastp 2524 pseudoroegneria|gb167|FF348975 6417 645 92.8 globlastp 2525 rye|12v1|BE494119 6418 645 92.8 globlastp 2526 rye|12v1|BG263876 6418 645 92.8 globlastp 2527 rye|12v1|DRR001012.105054 6418 645 92.8 globlastp 2528 rye|12v1|DRR001012.11360 6418 645 92.8 globlastp 2529 rye|12v1|DRR001012.175741 6418 645 92.8 globlastp 2530 rye|12v1|DRR001012.262220 6418 645 92.8 globlastp 2531 wheat|12v3|BE402378 6418 645 92.8 globlastp 2532 lovegrass|gb167|EH188825_T1 6419 645 92.76 glotblastn 2533 rye|12v1|DRR001012.405886 6420 645 92.76 glotblastn 2534 rye|12v1|DRR001013.139413 6421 645 92.76 glotblastn 2535 rye|12v1|DRR001015.146123 6422 645 92.76 glotblastn 2536 rye|12v1|DRR001012.715073 6423 645 92.11 glotblastn 2537 oat|11v1|CN816932_P1 6424 645 92.1 globlastp 2538 oil_palm|11v1|EL930541_P1 6425 645 92.1 globlastp 2539 rye|12v1|DRR001012.483052 6426 645 92.1 globlastp 2540 maize|10v1|BM378337_T1 6427 645 91.45 glotblastn 2541 fescue|gb161|DT689971_P1 6428 645 91.4 globlastp 2542 ginger|gb164|DY359093_P1 6429 645 91.4 globlastp 2543 ginger|gb164|DY361757_P1 6429 645 91.4 globlastp 2544 oil_palm|11v1|EY409533_P1 6430 645 91.4 globlastp 2545 phalaenopsis|11v1|CB031848_P1 6431 645 91.4 globlastp 2546 phalaenopsis|11v1|SRR125771.1007801_P1 6432 645 91.4 globlastp 2547 pineapple|10v1|CO730773_P1 6433 645 91.4 globlastp 2548 poppy|11v1|SRR030259.107962_P1 6434 645 91.4 globlastp 2549 poppy|11v1|SRR030259.156311_P1 6434 645 91.4 globlastp 2550 poppy|11v1|SRR030259.236604_P1 6435 645 91.4 globlastp 2551 poppy|11v1|SRR096789.118652_P1 6435 645 91.4 globlastp 2552 cowpea|12v1|FF385204_P1 6436 645 90.8 globlastp 2553 ipomoea_nil|10v1|BJ564090_P1 6437 645 90.8 globlastp 2554 liriodendron|gb166|CK754187_P1 6438 645 90.8 globlastp 2555 liriodendron|gb166|CK762830_P1 6438 645 90.8 globlastp 2556 oat|11v1|GO594028_P1 6439 645 90.8 globlastp 2557 peanut|10v1|EE127019_P1 6440 645 90.8 globlastp 2558 peanut|10v1|ES703074_P1 6440 645 90.8 globlastp 2559 platanus|11v1|SRR096786X109535_P1 6441 645 90.8 globlastp 2560 platanus|11v1|SRR096786X116175_P1 6438 645 90.8 globlastp 2561 platanus|11v1|SRR096786X144645_P1 6438 645 90.8 globlastp 2562 poppy|11v1|FE967690_P1 6442 645 90.8 globlastp 2563 phalaenopsis|11v1|SRR125771.1047942XX2_T1 6443 645 90.13 glotblastn 2564 poppy|11v1|SRR030259.107504_T1 6444 645 90.13 glotblastn 2565 acacia|10v1|FS584542_P1 6445 645 90.1 globlastp 2566 amorphophallus|11v2|SRR089351X100616_P1 6446 645 90.1 globlastp 2567 aristolochia|10v1|SRR039082S0062615_P1 6447 645 90.1 globlastp 2568 avocado|10v1|CK752507_P1 6448 645 90.1 globlastp 2569 beet|12v1|BI643078XX2_P1 6449 645 90.1 globlastp 2570 beet|12v1|BQ488142_P1 6450 645 90.1 globlastp 2571 chelidonium|11v1|SRR084752X107444_P1 6447 645 90.1 globlastp 2572 chelidonium|11v1|SRR084752X109905_P1 6447 645 90.1 globlastp 2573 curcuma|10v1|DY385986_P1 6451 645 90.1 globlastp 2574 eschscholzia|11v1|CK744958_P1 6447 645 90.1 globlastp 2575 medicago|12v1|AW288024_P1 6452 645 90.1 globlastp 2576 papaya|gb165|EX262807_P1 6453 645 90.1 globlastp 2577 soybean|11v1|GLYMA10G36610 6454 645 90.1 globlastp 2578 soybean|12v1|GLYMA10G36610T2_P1 6454 645 90.1 globlastp 2579 trigonella|11v1|SRR066194X101951 6452 645 90.1 globlastp 2580 trigonella|11v1|SRR066194X113780 6452 645 90.1 globlastp 2581 trigonella|11v1|SRR066194X152074 6452 645 90.1 globlastp 2582 tripterygium|11v1|SRR098677X113317 6455 645 90.1 globlastp 2583 rye|12v1|DRR001012.217772 6456 645 89.54 glotblastn 2584 olea|13v1|SRR014463X23649D1_P1 6457 645 89.5 globlastp 2585 soybean|12v1|AI442769_P1 6458 645 89.5 globlastp 2586 apple|11v1|CN879688_P1 6459 645 89.5 globlastp 2587 aquilegia|10v2|DT741994_P1 6460 645 89.5 globlastp 2588 aquilegia|10v2|JGIAC014479_P1 6461 645 89.5 globlastp 2589 banana|12v1|ES433189_P1 6462 645 89.5 globlastp 2590 banana|12v1|FF558491_P1 6462 645 89.5 globlastp 2591 banana|12v1|FL667103_P1 6463 645 89.5 globlastp 2592 cacao|10v1|CA794237_P1 6464 645 89.5 globlastp 2593 cephalotaxus|11v1|SRR064395X100526_P1 6465 645 89.5 globlastp 2594 cephalotaxus|11v1|SRR064395X102184_P1 6465 645 89.5 globlastp 2595 cleome_spinosa|10v1|SRR015531S0000734_P1 6466 645 89.5 globlastp 2596 cleome_spinosa|10v1|SRR015531S0011141_P1 6466 645 89.5 globlastp 2597 cotton|11v1|AI725541_P1 6464 645 89.5 globlastp 2598 cotton|11v1|AI726016_P1 6464 645 89.5 globlastp 2599 cotton|11v1|BE054022_P1 6464 645 89.5 globlastp 2600 cotton|11v1|BQ406421_P1 6464 645 89.5 globlastp 2601 cucumber|09v1|BI740218_P1 6467 645 89.5 globlastp 2602 cyamopsis|10v1|EG980456_P1 6468 645 89.5 globlastp 2603 euonymus|11v1|SRR070038X102341_P1 6469 645 89.5 globlastp 2604 euonymus|11v1|SRR070038X104515_P1 6470 645 89.5 globlastp 2605 euphorbia|11v1|DV151673XX1_P1 6467 645 89.5 globlastp 2606 flax|11v1|JG020740_P1 6471 645 89.5 globlastp 2607 flax|11v1|JG033539_P1 6471 645 89.5 globlastp 2608 fraxinus|11v1|SRR058827.135979_P1 6457 645 89.5 globlastp 2609 fraxinus|11v1|SRR058827.143569_P1 6457 645 89.5 globlastp 2610 fraxinus|11v1|SRR058827.166203_P1 6457 645 89.5 globlastp 2611 gossypium_raimondii|12v1|AI725541_P1 6464 645 89.5 globlastp 2612 gossypium_raimondii|12v1|AI726016_P1 6464 645 89.5 globlastp 2613 gossypium_raimondii|12v1|BE054022_P1 6464 645 89.5 globlastp 2614 gossypium_raimondii|12v1|BQ406421_P1 6464 645 89.5 globlastp 2615 grape|11v1|GSVIVT01001168001_P1 6472 645 89.5 globlastp 2616 grape|11v1|GSVIVT01017975001_P1 6472 645 89.5 globlastp 2617 grape|11v1|GSVIVT01034582001_P1 6472 645 89.5 globlastp 2618 hornbeam|12v1|SRR364455.104726_P1 6473 645 89.5 globlastp 2619 iceplant|gb164|BE035960_P1 6474 645 89.5 globlastp 2620 ipomoea_batatas|10v1|CB330101_P1 6475 645 89.5 globlastp 2621 ipomoea_nil|10v1|CJ746229_P1 6475 645 89.5 globlastp 2622 liquorice|gb171|FS238680_P1 6476 645 89.5 globlastp 2623 liquorice|gb171|FS244103_P1 6477 645 89.5 globlastp 2624 melon|10v1|DV633021_P1 6467 645 89.5 globlastp 2625 melon|10v1|DV633197_P1 6467 645 89.5 globlastp 2626 nuphar|gb166|DT585510_P1 6478 645 89.5 globlastp 2627 oat|11v1|CN815803_P1 6479 645 89.5 globlastp 2628 oat|11v1|GO590607_P1 6480 645 89.5 globlastp 2629 oil_palm|11v1|EY410764_P1 6481 645 89.5 globlastp 2630 olea|11v1|SRR014463.15044 6457 645 89.5 globlastp 2631 olea|13v1|SRR014463X15044D1_P1 6457 645 89.5 globlastp 2632 olea|11v1|SRR014463.15566 6457 645 89.5 globlastp 2633 olea|13v1|SRR014463X15566D1_P1 6457 645 89.5 globlastp 2634 phyla|11v2|SRR099037X192733_P1 6482 645 89.5 globlastp 2635 pigeonpea|11v1|SRR054580X101013_P1 6483 645 89.5 globlastp 2636 pigeonpea|11v1|SRR054580X123056_P1 6484 645 89.5 globlastp 2637 platanus|11v1|SRR096786X101919_P1 6485 645 89.5 globlastp 2638 poplar|10v1|CN549329 6486 645 89.5 globlastp 2639 poplar|13v1|CN549329_P1 6486 645 89.5 globlastp 2640 poppy|11v1|FE964611_P1 6487 645 89.5 globlastp 2641 salvia|10v1|CV162854 6488 645 89.5 globlastp 2642 soybean|11v1|GLYMA10G36880 6458 645 89.5 globlastp 2643 soybean|12v1|GLYMA10G36880T2_P1 6458 645 89.5 globlastp 2644 soybean|11v1|GLYMA20G30730 6489 645 89.5 globlastp 2645 soybean|12v1|GLYMA20G30730_P1 6489 645 89.5 globlastp 2646 soybean|11v1|GLYMA20G30970 6490 645 89.5 globlastp 2647 soybean|12v1|GLYMA20G30970_P1 6490 645 89.5 globlastp 2648 spurge|gb161|DV151673 6467 645 89.5 globlastp 2649 taxus|10v1|SRR032523S0032389 6465 645 89.5 globlastp 2650 thalictrum|11v1|SRR096787X110776 6460 645 89.5 globlastp 2651 tomato|11v1|BG125191 6491 645 89.5 globlastp 2652 tripterygium|11v1|SRR098677X103895 6492 645 89.5 globlastp 2653 tripterygium|11v1|SRR098677X115130 6493 645 89.5 globlastp 2654 valeriana|11v1|SRR099039X100965 6494 645 89.5 globlastp 2655 watermelon|11v1|BI740218 6467 645 89.5 globlastp 2656 zostera|10v1|AM767488 6495 645 89.5 globlastp 2657 apple|11v1|CN491562_T1 6496 645 89.47 glotblastn 2658 cacao|10v1|CF973211_T1 6497 645 89.47 glotblastn 2659 phyla|11v2|SRR099037X100375_T1 6498 645 89.47 glotblastn 2660 fraxinus|11v1|SRR058827.122827_T1 6499 645 88.82 glotblastn 2661 primula|11v1|SRR098679X130115_T1 6500 645 88.82 glotblastn 2662 watermelon|11v1|DV633021 6501 645 88.82 glotblastn 2663 castorbean|12v1|EE258293_P1 6502 645 88.8 globlastp 2664 centaurea|11v1|SRR346940.102154_P1 6503 645 88.8 globlastp 2665 peach|gb157.2|AJ825789_P1 6504 645 88.8 globlastp 2666 peach|gb157.2|DY633412_P1 6505 645 88.8 globlastp 2667 prunus_mume|13v1|BU573849_P1 6504 645 88.8 globlastp 2668 prunus_mume|13v1|CB821568_P1 6505 645 88.8 globlastp 2669 acacia|10v1|GR483156_P1 6506 645 88.8 globlastp 2670 amborella|12v3|CK749271_P1 6507 645 88.8 globlastp 2671 apple|11v1|CN496803_P1 6504 645 88.8 globlastp 2672 apple|11v1|CN883935_P1 6504 645 88.8 globlastp 2673 aquilegia|10v2|JGIAC025912_P1 6508 645 88.8 globlastp 2674 banana|12v1|FF560106_P1 6509 645 88.8 globlastp 2675 basilicum|10v1|DY322568_P1 6510 645 88.8 globlastp 2676 basilicum|10v1|DY335943_P1 6510 645 88.8 globlastp 2677 basilicum|10v1|DY336014_P1 6511 645 88.8 globlastp 2678 blueberry|12v1|CF811672_P1 6512 645 88.8 globlastp 2679 cannabis|12v1|JK501439_P1 6513 645 88.8 globlastp 2680 cassava|09v1|CK644351_P1 6514 645 88.8 globlastp 2681 cassava|09v1|DV442470_P1 6502 645 88.8 globlastp 2682 cassava|09v1|DV447662_P1 6514 645 88.8 globlastp 2683 castorbean|11v1|EE258293 6502 645 88.8 globlastp 2684 castorbean|11v1|T24222 6514 645 88.8 globlastp 2685 castorbean|12v1|T24222_P1 6514 645 88.8 globlastp 2686 chestnut|gb170|SRR006295S0000282_P1 6515 645 88.8 globlastp 2687 chestnut|gb170|SRR006295S0001374_P1 6516 645 88.8 globlastp 2688 chickpea|11v1|DY475120 6517 645 88.8 globlastp 2689 chickpea|11v1|GR393585 6517 645 88.8 globlastp 2690 chickpea|13v2|GR393585_P1 6517 645 88.8 globlastp 2691 clementine|11v1|CF504162_P1 6518 645 88.8 globlastp 2692 cleome_gynandra|10v1|SRR015532S0005062_P1 6519 645 88.8 globlastp 2693 cleome_gynandra|10v1|SRR015532S0018099_P1 6519 645 88.8 globlastp 2694 cleome_spinosa|10v1|GR932171_P1 6519 645 88.8 globlastp 2695 cleome_spinosa|10v1|SRR015531S0026352_P1 6519 645 88.8 globlastp 2696 cryptomeria|gb166|BP174275_P1 6520 645 88.8 globlastp 2697 cryptomeria|gb166|BW993048_P1 6520 645 88.8 globlastp 2698 cucurbita|11v1|SRR091276X1_P1 6521 645 88.8 globlastp 2699 cyamopsis|10v1|EG985540_P1 6522 645 88.8 globlastp 2700 distylium|11v1|SRR065077X118115_P1 6523 645 88.8 globlastp 2701 distylium|11v1|SRR065077X131771_P1 6524 645 88.8 globlastp 2702 eucalyptus|11v2|CT984581_P1 6525 645 88.8 globlastp 2703 eucalyptus|11v2|SRR001658X117_P1 6525 645 88.8 globlastp 2704 euonymus|11v1|SRR070038X110227_P1 6526 645 88.8 globlastp 2705 euonymus|11v1|SRR070038X110709_P1 6526 645 88.8 globlastp 2706 euonymus|11v1|SRR070038X128756_P1 6527 645 88.8 globlastp 2707 flax|11v1|EU830771_P1 6528 645 88.8 globlastp 2708 flax|11v1|JG017787_P1 6529 645 88.8 globlastp 2709 flax|11v1|JG028441_P1 6528 645 88.8 globlastp 2710 flax|11v1|JG032308_P1 6528 645 88.8 globlastp 2711 fraxinus|11v1|FR638309_P1 6530 645 88.8 globlastp 2712 gerbera|09v1|AJ751009_P1 6531 645 88.8 globlastp 2713 gerbera|09v1|AJ755281_P1 6531 645 88.8 globlastp 2714 humulus|11v1|EX515858_P1 6513 645 88.8 globlastp 2715 ipomoea_batatas|10v1|CB330422_P1 6532 645 88.8 globlastp 2716 kiwi|gb166|FG396999_P1 6533 645 88.8 globlastp 2717 kiwi|gb166|FG420418_P1 6533 645 88.8 globlastp 2718 medicago|12v1|AA660242_P1 6534 645 88.8 globlastp 2719 medicago|12v1|AL373560_P1 6534 645 88.8 globlastp 2720 momordica|10v1|SRR071315S0006027_P1 6535 645 88.8 globlastp 2721 momordica|10v1|SRR071315S0007312_P1 6535 645 88.8 globlastp 2722 nuphar|gb166|CK752042_P1 6536 645 88.8 globlastp 2723 oak|10v1|DB998847_P1 6515 645 88.8 globlastp 2724 oak|10v1|DN950342_P1 6516 645 88.8 globlastp 2725 orange|11v1|CF504162_P1 6518 645 88.8 globlastp 2726 pepper|12v1|BM065411_P1 6537 645 88.8 globlastp 2727 physcomitrella|10v1|AW509599_P1 6538 645 88.8 globlastp 2728 physcomitrella|10v1|Z98068_P1 6539 645 88.8 globlastp 2729 pigeonpea|11v1|GR468077_P1 6540 645 88.8 globlastp 2730 poplar|10v1|AI162815 6541 645 88.8 globlastp 2731 poplar|13v1|AI162815_P1 6541 645 88.8 globlastp 2732 poppy|11v1|SRR096789.220194_P1 6542 645 88.8 globlastp 2733 potato|10v1|AJ487428_P1 6543 645 88.8 globlastp 2734 prunus|10v1|CB819415 6504 645 88.8 globlastp 2735 prunus|10v1|CB821568 6505 645 88.8 globlastp 2736 rye|12v1|DRR001012.174607 6544 645 88.8 globlastp 2737 salvia|10v1|CV165019 6545 645 88.8 globlastp 2738 salvia|10v1|FE537147 6546 645 88.8 globlastp 2739 scabiosa|11v1|SRR063723X108189 6547 645 88.8 globlastp 2740 scabiosa|11v1|SRR063723X115009 6547 645 88.8 globlastp 2741 sciadopitys|10v1|SRR065035S0007628 6548 645 88.8 globlastp 2742 sequoia|10v1|SRR065044S0014606 6520 645 88.8 globlastp 2743 sequoia|10v1|SRR065044S0029384 6520 645 88.8 globlastp 2744 silene|11v1|GH293918 6549 645 88.8 globlastp 2745 silene|11v1|SRR096785X106429 6550 645 88.8 globlastp 2746 solanum_phureia|09v1|SPHBG125191 6543 645 88.8 globlastp 2747 soybean|11v1|GLYMA02G08690 6551 645 88.8 globlastp 2748 soybean|12v1|GLYMA02G08690_P1 6551 645 88.8 globlastp 2749 tomato|11v1|AA824813 6552 645 88.8 globlastp 2750 valeriana|11v1|SRR099039X101660 6553 645 88.8 globlastp 2751 zamia|gb166|DY030861 6554 645 88.8 globlastp 2752 centaurea|11v1|EH714043_P1 6503 645 88.8 globlastp 2753 bean|12v2|CA897180_P1 6555 645 88.2 globlastp 2754 bean|12v2|CA903004_P1 6555 645 88.2 globlastp 2755 centaurea|11v1|EH741265_P1 6556 645 88.2 globlastp 2756 centaurea|11v1|EH754977_P1 6556 645 88.2 globlastp 2757 centaurea|11v1|SRR346938.107178_P1 6556 645 88.2 globlastp 2758 centaurea|11v1|SRR346938.395477_P1 6556 645 88.2 globlastp 2759 centaurea|11v1|SRR346941.103041_P1 6556 645 88.2 globlastp 2760 nicotiana_benthamiana|12v1|CN746388_P1 6557 645 88.2 globlastp 2761 olea|13v1|SRR014463X19320D1_P1 6558 645 88.2 globlastp 2762 ambrosia|11v1|SRR346935.540449_P1 6559 645 88.2 globlastp 2763 ambrosia|11v1|SRR346943.122145_P1 6559 645 88.2 globlastp 2764 ambrosia|11v1|SRR346943.126555_P1 6559 645 88.2 globlastp 2765 antirrhinum|gb166|AJ558859_P1 6560 645 88.2 globlastp 2766 aristolochia|10v1|SRR039083S0112943_P1 6561 645 88.2 globlastp 2767 arnica|11v1|SRR099034X101529_P1 6556 645 88.2 globlastp 2768 arnica|11v1|SRR099034X101893_P1 6556 645 88.2 globlastp 2769 arnica|11v1|SRR099034X11492_P1 6559 645 88.2 globlastp 2770 artemisia|10v1|EY032434_P1 6556 645 88.2 globlastp 2771 artemisia|10v1|EY032917_P1 6556 645 88.2 globlastp 2772 artemisia|10v1|EY046218_P1 6556 645 88.2 globlastp 2773 bean|12v1|CA903004 6555 645 88.2 globlastp 2774 beech|11v1|SRR006293.11432_P1 6562 645 88.2 globlastp 2775 beech|11v1|SRR006293.485_P1 6562 645 88.2 globlastp 2776 centaurea|gb166|EH714043 6556 645 88.2 globlastp 2777 centaurea|11v1|EH740958_P1 6556 645 88.2 globlastp 2778 centaurea|gb166|EH740958 6556 645 88.2 globlastp 2779 centaurea|11v1|EH752575_P1 6556 645 88.2 globlastp 2780 centaurea|gb166|EH752575 6556 645 88.2 globlastp 2781 ceratodon|10v1|AW086820_P1 6563 645 88.2 globlastp 2782 ceratodon|10v1|SRR074890S0031415_P1 6564 645 88.2 globlastp 2783 ceratodon|10v1|SRR074890S0206507_P1 6564 645 88.2 globlastp 2784 chickpea|11v1|SRR133517.201721 6565 645 88.2 globlastp 2785 chickpea|13v2|SRR133517.201721_P1 6565 645 88.2 globlastp 2786 cichorium|gb171|DT211776_P1 6556 645 88.2 globlastp 2787 cichorium|gb171|EH698739_P1 6556 645 88.2 globlastp 2788 cirsium|11v1|SRR346952.100954_P1 6556 645 88.2 globlastp 2789 cirsium|11v1|SRR346952.1016079_P1 6556 645 88.2 globlastp 2790 cirsium|11v1|SRR346952.1018181_P1 6556 645 88.2 globlastp 2791 cirsium|11v1|SRR346952.110842_P1 6556 645 88.2 globlastp 2792 cirsium|11v1|SRR346952.120716_P1 6556 645 88.2 globlastp 2793 clementine|11v1|BE213468_P1 6566 645 88.2 globlastp 2794 cowpea|12v1|FC460394_P1 6555 645 88.2 globlastp 2795 cowpea|12v1|FF383542_P1 6555 645 88.2 globlastp 2796 cucurbita|11v1|SRR091276X101659_P1 6567 645 88.2 globlastp 2797 cucurbita|11v1|SRR091276X105539_P1 6567 645 88.2 globlastp 2798 cycas|gb166|EX927238_P1 6568 645 88.2 globlastp 2799 cycas|gb166|EX928133_P1 6569 645 88.2 globlastp 2800 cynara|gb167|GE585921_P1 6556 645 88.2 globlastp 2801 cynara|gb167|GE586256_P1 6556 645 88.2 globlastp 2802 cynara|gb167|GE587349_P1 6556 645 88.2 globlastp 2803 dandelion|10v1|DR398987_P1 6556 645 88.2 globlastp 2804 dandelion|10v1|DR398999_P1 6556 645 88.2 globlastp 2805 dandelion|10v1|DR399385_P1 6556 645 88.2 globlastp 2806 dandelion|10v1|DY818871_P1 6556 645 88.2 globlastp 2807 eggplant|10v1|FS000205_P1 6570 645 88.2 globlastp 2808 eggplant|10v1|FS013827_P1 6571 645 88.2 globlastp 2809 eucalyptus|11v2|CT988037_P1 6572 645 88.2 globlastp 2810 euonymus|11v1|SRR070038X107398_P1 6573 645 88.2 globlastp 2811 fagopyrum|11v1|SRR063689X100250_P1 6574 645 88.2 globlastp 2812 fagopyrum|11v1|SRR063689X100675_P1 6574 645 88.2 globlastp 2813 fagopyrum|11v1|SRR063703X118250_P1 6574 645 88.2 globlastp 2814 fescue|gb161|DT690258_P1 6575 645 88.2 globlastp 2815 flaveria|11v1|SRR149229.101618_P1 6559 645 88.2 globlastp 2816 flaveria|11v1|SRR149229.106611_P1 6559 645 88.2 globlastp 2817 flaveria|11v1|SRR149229.116457_P1 6556 645 88.2 globlastp 2818 flaveria|11v1|SRR149229.128215_P1 6559 645 88.2 globlastp 2819 flaveria|11v1|SRR149229.181354_P1 6559 645 88.2 globlastp 2820 flaveria|11v1|SRR149229.472800_P1 6559 645 88.2 globlastp 2821 flaveria|11v1|SRR149232.100137_P1 6559 645 88.2 globlastp 2822 flaveria|11v1|SRR149232.110616_P1 6559 645 88.2 globlastp 2823 flaveria|11v1|SRR149232.129420_P1 6559 645 88.2 globlastp 2824 flaveria|11v1|SRR149232.129867_P1 6559 645 88.2 globlastp 2825 flaveria|11v1|SRR149232.158991_P1 6556 645 88.2 globlastp 2826 flaveria|11v1|SRR149232.286298_P1 6559 645 88.2 globlastp 2827 naveria|11v1|SRR149241.162170_P1 6559 645 88.2 globlastp 2828 flaveria|11v1|SRR149241.174618_P1 6559 645 88.2 globlastp 2829 flaveria|11v1|SRR149241.370637_P1 6576 645 88.2 globlastp 2830 flaveria|11v1|SRR149242.140914_P1 6559 645 88.2 globlastp 2831 fraxinus|11v1|SRR058827.17920_P1 6558 645 88.2 globlastp 2832 ginseng|10v1|CN847306_P1 6577 645 88.2 globlastp 2833 guizotia|10v1|GE552550_P1 6559 645 88.2 globlastp 2834 guizotia|10v1|GE554321_P1 6559 645 88.2 globlastp 2835 guizotia|10v1|GE557968_P1 6559 645 88.2 globlastp 2836 hornbeam|12v1|SRR364455.106828_P1 6578 645 88.2 globlastp 2837 jatropha|09v1|GH295800_P1 6579 645 88.2 globlastp 2838 kiwi|gb166|FG417957_P1 6580 645 88.2 globlastp 2839 lettuce|12v1|DW046230_P1 6581 645 88.2 globlastp 2840 nasturtium|11v1|GH163661_P1 6582 645 88.2 globlastp 2841 orange|11v1|BE213468_P1 6566 645 88.2 globlastp 2842 parthenium|10v1|GW784328_P1 6559 645 88.2 globlastp 2843 parthenium|10v1|GW786047_P1 6559 645 88.2 globlastp 2844 pepper|12v1|BM061831_P1 6583 645 88.2 globlastp 2845 pepper|12v1|CA515799_P1 6584 645 88.2 globlastp 2846 petunia|gb171|FN000831_P1 6557 645 88.2 globlastp 2847 phyla|11v2|SRR099035X101639_P1 6585 645 88.2 globlastp 2848 phyla|11v2|SRR099035X101664_P1 6586 645 88.2 globlastp 2849 physcomitrella|10v1|AW497269_P1 6564 645 88.2 globlastp 2850 physcomitrella|10v1|AW561228_P1 6564 645 88.2 globlastp 2851 physcomitrella|10v1|AW599198_P1 6564 645 88.2 globlastp 2852 plantago|11v2|SRR066373X114020_P1 6587 645 88.2 globlastp 2853 plantago|11v2|SRR066373X134662_P1 6587 645 88.2 globlastp 2854 poplar|10v1|AI163604 6588 645 88.2 globlastp 2855 poplar|13v1|AI163604_P1 6588 645 88.2 globlastp 2856 potato|10v1|BG098668_P1 6589 645 88.2 globlastp 2857 rhizophora|10v1|SRR005792S0001046 6590 645 88.2 globlastp 2858 safflower|gb162|EL374295 6556 645 88.2 globlastp 2859 safflower|gb162|EL392618 6556 645 88.2 globlastp 2860 sarracenia|11v1|SRR192669.106537 6591 645 88.2 globlastp 2861 senecio|gb170|DY658018 6592 645 88.2 globlastp 2862 sesame|12v1|BU668184 6593 645 88.2 globlastp 2863 solanum_phureja|09v1|SPHAA824813 6594 645 88.2 globlastp 2864 sunflower|12v1|CD847938 6559 645 88.2 globlastp 2865 sunflower|12v1|CD849099 6559 645 88.2 globlastp 2866 sunflower|12v1|CD850007 6556 645 88.2 globlastp 2867 sunflower|12v1|CD851302 6559 645 88.2 globlastp 2868 sunflower|12v1|CD851490 6559 645 88.2 globlastp 2869 sunflower|12v1|CD851810 6559 645 88.2 globlastp 2870 sunflower|12v1|CD857481 6559 645 88.2 globlastp 2871 sunflower|12v1|CF078940 6556 645 88.2 globlastp 2872 sunflower|12v1|CF079382 6556 645 88.2 globlastp 2873 sunflower|12v1|CF091224 6559 645 88.2 globlastp 2874 sunflower|12v1|DY908159 6559 645 88.2 globlastp 2875 sunflower|12v1|DY918643 6559 645 88.2 globlastp 2876 sunflower|12v1|DY920079 6559 645 88.2 globlastp 2877 sunflower|12v1|DY924690 6559 645 88.2 globlastp 2878 sunflower|12v1|DY957194 6559 645 88.2 globlastp 2879 sunflower|12v1|EE640715 6559 645 88.2 globlastp 2880 sunflower|12v1|EE650842 6556 645 88.2 globlastp 2881 sunflower|12v1|SRR346950X101153 6559 645 88.2 globlastp 2882 tea|10v1|CV014409 6595 645 88.2 globlastp 2883 tobacco|gb162|BQ842825 6596 645 88.2 globlastp 2884 tobacco|gb162|CV016244 6557 645 88.2 globlastp 2885 tragopogon|10v1|SRR020205S0011374 6556 645 88.2 globlastp 2886 tragopogon|10v1|SRR020205S0041653 6556 645 88.2 globlastp 2887 triphysaria|10v1|EX982426 6597 645 88.2 globlastp 2888 nicotiana_benthamiana|12v1|CN743253_P1 6557 645 88.2 globlastp 2889 zostera|12v1|AM767488_T1 6598 645 88.16 glotblastn 2890 chickpea|13v2|DY475120_T1 6599 645 88.16 glotblastn 2891 nicotiana_benthamiana|12v1|EB447393_P1 6600 645 87.5 globlastp 2892 switchgrass|12v1|FL947377_T1 6601 645 87.5 glotblastn 2893 ambrosia|11v1|SRR346935.172586_T1 6602 645 87.5 glotblastn 2894 ambrosia|11v1|SRR346943.110825_T1 6602 645 87.5 glotblastn 2895 ambrosia|11v1|SRR346943.134260_T1 6602 645 87.5 glotblastn 2896 ambrosia|11v1|SRR346943.175035_T1 6602 645 87.5 glotblastn 2897 avocado|10v1|FD504015_P1 6603 645 87.5 globlastp 2898 cannabis|12v1|EW700987_P1 6604 645 87.5 globlastp 2899 cirsium|11v1|SRR349641.807871_P1 6605 645 87.5 globlastp 2900 cucurbita|11v1|SRR091276X104052_T1 6606 645 87.5 glotblastn 2901 cucurbita|11v1|SRR091277X114272_T1 6607 645 87.5 glotblastn 2902 cycas|gb166|CB091000_P1 6608 645 87.5 globlastp 2903 eggplant|10v1|FS001546_P1 6600 645 87.5 globlastp 2904 fagopyrum|11v1|SRR063689X112242_P1 6609 645 87.5 globlastp 2905 flaveria|11v1|SRR149229.124890_P1 6610 645 87.5 globlastp 2906 flaveria|11v1|SRR149229.144508_T1 6611 645 87.5 glotblastn 2907 flaveria|11v1|SRR149229.211249_T1 6612 645 87.5 glotblastn 2908 flaveria|11v1|SRR149232.233619_P1 6613 645 87.5 globlastp 2909 flaveria|11v1|SRR149232.390430_T1 6614 645 87.5 glotblastn 2910 guizotia|10v1|GE559342XX1_P1 6615 645 87.5 globlastp 2911 humulus|11v1|EX515729_P1 6604 645 87.5 globlastp 2912 lettuce|12v1|DW044998_P1 6616 645 87.5 globlastp 2913 lettuce|12v1|DW103829_P1 6617 645 87.5 globlastp 2914 lolium|10v1|DT672847_P1 6618 645 87.5 globlastp 2915 lotus|09v1|BU494085_P1 6619 645 87.5 globlastp 2916 marchantia|gb166|C95841_P1 6620 645 87.5 globlastp 2917 marchantia|gb166|C96393_P1 6620 645 87.5 globlastp 2918 monkeyflower|10v1|DV206181 6621 645 87.5 globlastp 2919 monkeyflower|12v1|DV206181_P1 6621 645 87.5 globlastp 2920 nasturtium|11v1|SRR032558.101013_P1 6622 645 87.5 globlastp 2921 nicotiana_benthamiana|12v1|CN743096_P1 6623 645 87.5 globlastp 2922 nicotiana_benthamiana|gb162|CN743096 6623 645 87.5 globlastp 2923 nicotiana_benthamiana|12v1|CN744194_P1 6623 645 87.5 globlastp 2924 nicotiana_benthamiana|gb162|CN744194 6623 645 87.5 globlastp 2925 petunia|gb171|CV299836_P1 6623 645 87.5 globlastp 2926 physcomitrella|10v1|AW599143_P1 6624 645 87.5 globlastp 2927 podocarpus|10v1|SRR065014S0024080_P1 6625 645 87.5 globlastp 2928 primula|11v1|FS229531_P1 6626 645 87.5 globlastp 2929 primula|11v1|SRR098679X104291XX1_P1 6626 645 87.5 globlastp 2930 primula|11v1|SRR098679X110646_P1 6626 645 87.5 globlastp 2931 pteridium|11v1|GW574922 6627 645 87.5 globlastp 2932 pteridium|11v1|SRR043594X117656 6627 645 87.5 globlastp 2933 rose|12v1|BI977264 6628 645 87.5 globlastp 2934 sarracenia|11v1|SRR192669.117714 6629 645 87.5 globlastp 2935 sarracenia|11v1|SRR192669.129872 6630 645 87.5 globlastp 2936 sciadopitys|10v1|SRR065035S0008606 6631 645 87.5 globlastp 2937 senecio|gb170|CO553505 6632 645 87.5 globlastp 2938 solanum_phureja|09v1|SPHBG123662 6623 645 87.5 globlastp 2939 spikemoss|gb165|DN838212 6633 645 87.5 globlastp 2940 spikemoss|gb165|FE433036 6633 645 87.5 globlastp 2941 strawberry|11v1|CO381320 6628 645 87.5 globlastp 2942 sunflower|12v1|BU671980 6634 645 87.5 globlastp 2943 tobacco|gb162|CV020272 6600 645 87.5 globlastp 2944 tobacco|gb162|DW001960 6623 645 87.5 globlastp 2945 tobacco|gb162|EB677827 6600 645 87.5 globlastp 2946 tomato|11v1|BG123662 6623 645 87.5 globlastp 2947 tragopogon|10v1|SRR020205S0036982 6635 645 87.5 glotblastn 2948 triphysaria|10v1|BM356875 6636 645 87.5 globlastp 2949 triphysaria|10v1|EX990722 6636 645 87.5 globlastp 2950 utricularia|11v1|SRR094438.10133 6637 645 87.5 globlastp 2951 dandelion|10v1|DY841132_T1 6635 645 86.84 glotblastn 2952 poppy|11v1|SRR096789.252757_T1 6638 645 86.84 glotblastn 2953 primula|11v1|SRR098679X209502_T1 6639 645 86.84 glotblastn 2954 spurge|gb161|BI962078 6640 645 86.84 glotblastn 2955 arabidopsis_lyrata|09v1|BQ834079_P1 6641 645 86.8 globlastp 2956 arabidopsis_lyrata|09v1|JGIAL003533_P1 6641 645 86.8 globlastp 2957 arabidopsis_lyrata|09v1|JGIAL022903_P1 6641 645 86.8 globlastp 2958 arabidopsis|10v1|AT1G22780_P1 6641 645 86.8 globlastp 2959 arabidopsis|10v1|AT1G34030_P1 6641 645 86.8 globlastp 2960 arabidopsis|10v1|AT4G09800_P1 6641 645 86.8 globlastp 2961 blueberry|12v1|CV190545_P1 6642 645 86.8 globlastp 2962 blueberry|12v1|SRR353282X101939D1_P1 6642 645 86.8 globlastp 2963 bupleurum|11v1|FG341930_P1 6643 645 86.8 globlastp 2964 euphorbia|11v1|BI962078_P1 6644 645 86.8 globlastp 2965 euphorbia|11v1|BP959355_P1 6645 645 86.8 globlastp 2966 euphorbia|11v1|DV123555_P1 6646 645 86.8 globlastp 2967 euphorbia|11v1|SRR098678X105620_P1 6646 645 86.8 globlastp 2968 fern|gb171|BP911673_P1 6647 645 86.8 globlastp 2969 fraxinus|11v1|SRR058827.100066_P1 6648 645 86.8 globlastp 2970 lotus|09v1|LLBF177459_P1 6649 645 86.8 globlastp 2971 nasturtium|11v1|SRR032558.108754_P1 6650 645 86.8 globlastp 2972 nicotiana_benthamiana|gb162|CN743253 6651 645 86.8 globlastp 2973 onion|12v1|CF439287_P1 6652 645 86.8 globlastp 2974 onion|12v1|CF443333_P1 6652 645 86.8 globlastp 2975 onion|12v1|SRR073446X121672D1_P1 6653 645 86.8 globlastp 2976 onion|12v1|SRR073446X128281D1_P1 6653 645 86.8 globlastp 2977 orobanche|10v1|SRR023189S0008126_P1 6654 645 86.8 globlastp 2978 orobanche|10v1|SRR023189S0008932_P1 6655 645 86.8 globlastp 2979 papaya|gb165|EX249656_P1 6656 645 86.8 globlastp 2980 spurge|gb161|DV123555 6646 645 86.8 globlastp 2981 abies|11v2|SRR098676X102010_P1 6657 645 86.2 globlastp 2982 amsonia|11v1|SRR098688X101617_P1 6658 645 86.2 globlastp 2983 arnica|11v1|SRR099034X156142_P1 6659 645 86.2 globlastp 2984 cedrus|11v1|SRR065007X106236_P1 6660 645 86.2 globlastp 2985 cedrus|11v1|SRR065007X155427_P1 6661 645 86.2 globlastp 2986 gnetum|10v1|CB082487_P1 6662 645 86.2 globlastp 2987 gnetum|10v1|DN955661_P1 6663 645 86.2 globlastp 2988 guizotia|10v1|GE557973_P1 6664 645 86.2 globlastp 2989 podocarpus|10v1|SRR065014S0007657_P1 6665 645 86.2 globlastp 2990 spruce|11v1|ES248603 6666 645 86.2 globlastp 2991 spruce|11v1|ES854557 6666 645 86.2 globlastp 2992 spruce|11v1|EX350944 6666 645 86.2 globlastp 2993 spruce|11v1|EX378591 6666 645 86.2 globlastp 2994 spruce|11v1|EX409522 6666 645 86.2 globlastp 2995 spruce|11v1|EX417022 6666 645 86.2 globlastp 2996 spruce|11v1|SRR064180X1121 6667 645 86.2 globlastp 2997 spruce|11v1|SRR064180X150837 6666 645 86.2 globlastp 2998 strawberry|11v1|DY673703 6668 645 86.2 globlastp 2999 flaveria|11v1|SRR149229.238699XX1_P1 6669 645 85.6 globlastp 3000 b_juncea|12v1|E6ANDIZ01AKYGR_T1 6670 645 85.53 glotblastn 3001 spruce|11v1|EX411458XX2 6671 645 85.53 glotblastn 3002 canola|11v1|CN729814_T1 — 645 85.53 glotblastn 3003 b_juncea|12v1|E6ANDIZ01A0VSM_P1 6672 645 85.5 globlastp 3004 b_juncea|12v1|E6ANDIZ01A15S3_P1 6672 645 85.5 globlastp 3005 b_juncea|12v1|E6ANDIZ01A3RWZ_P1 6672 645 85.5 globlastp 3006 b_juncea|12v1|E6ANDIZ01A9USI_P1 6672 645 85.5 globlastp 3007 b_juncea|12v1|E6ANDIZ01AKACQ_P1 6672 645 85.5 globlastp 3008 b_juncea|12v1|E6ANDIZ01AYF0F_P1 6672 645 85.5 globlastp 3009 b_juncea|12v1|E6ANDIZ01BZKR7_P1 6672 645 85.5 globlastp 3010 b_oleracea|gb161|DY029753_P1 6672 645 85.5 globlastp 3011 b_rapa|11v1|CD814622_P1 6672 645 85.5 globlastp 3012 b_rapa|11v1|CD817700_P1 6672 645 85.5 globlastp 3013 b_rapa|11v1|H74595_P1 6672 645 85.5 globlastp 3014 b_rapa|11v1|L38210_P1 6672 645 85.5 globlastp 3015 bruguiera|gb166|BP939636_P1 6673 645 85.5 globlastp 3016 canola|11v1|CN725849_P1 6672 645 85.5 globlastp 3017 canola|11v1|CN730875_P1 6672 645 85.5 globlastp 3018 canola|11v1|CN735120_P1 6672 645 85.5 globlastp 3019 canola|11v1|DW998748_P1 6672 645 85.5 globlastp 3020 cirsium|11v1|SRR346952.42565_P1 6674 645 85.5 globlastp 3021 flaveria|11v1|SRR149232.236591_P1 6675 645 85.5 globlastp 3022 maritime_pine|10v1|BX665997_P1 6676 645 85.5 globlastp 3023 pseudotsuga|10v1|SRR065119S0132532 6677 645 85.5 globlastp 3024 radish|gb164|EV524681 6672 645 85.5 globlastp 3025 radish|gb164|EV526891 6672 645 85.5 globlastp 3026 radish|gb164|EV535060 6672 645 85.5 globlastp 3027 radish|gb164|EV543584 6672 645 85.5 globlastp 3028 radish|gb164|EV544067 6672 645 85.5 globlastp 3029 radish|gb164|EW722251 6672 645 85.5 globlastp 3030 radish|gb164|EX754584 6672 645 85.5 globlastp 3031 radish|gb164|EY904167 6672 645 85.5 globlastp 3032 rose|12v1|EC586090 6678 645 85.5 globlastp 3033 tabernaemontana|11v1|SRR098689X104258 6679 645 85.5 globlastp 3034 thellungiella_parvulum|11v1|BE758566 6680 645 85.5 globlastp 3035 thellungiella_parvulum|11v1|DN773306 6672 645 85.5 globlastp 3036 vinca|11v1|SRR098690X108806 6681 645 85.5 globlastp 3037 vinca|11v1|SRR098690X111525 6682 645 85.5 globlastp 3038 vinca|11v1|SRR098690X125605 6683 645 85.5 globlastp 3039 amsonia|11v1|SRR098688X108922_P1 6684 645 84.9 globlastp 3040 b_oleracea|gb161|DY025873_P1 6685 645 84.9 globlastp 3041 bupleurum|11v1|SRR301254.12342_P1 6686 645 84.9 globlastp 3042 canola|11v1|CN730635_P1 6685 645 84.9 globlastp 3043 coffea|10v1|DV672412_P1 6687 645 84.9 globlastp 3044 maritime_pine|10v1|BX249306_P1 6688 645 84.9 globlastp 3045 onion|12v1|CF450522_P1 6689 645 84.9 globlastp 3046 pine|10v2|AA556384_P1 6690 645 84.9 globlastp 3047 pine|10v2|AW010012_P1 6688 645 84.9 globlastp 3048 sunflower|12v1|DY956676 6691 645 84.9 globlastp 3049 tabernaemontana|11v1|SRR098689X108058 6692 645 84.9 globlastp 3050 zinnia|gb171|AU286978 6693 645 84.9 globlastp 3051 rye|12v1|DRR001012.334772 6694 645 84.87 glotblastn 3052 zostera|12v1|SRR057351X398302D1_T1 6695 645 84.52 glotblastn 3053 nuphar|gb166|CD474613_P1 6696 645 84.5 globlastp 3054 blueberry|12v1|SRR353282X21198D1_T1 6697 645 84.42 glotblastn 3055 tripterygium|11v1|SRR098677X236892 6698 645 84.21 glotblastn 3056 spruce|11v1|ES246342XX1 6699 645 84.2 globlastp 3057 spruce|11v1|EX330372XX1 6699 645 84.2 globlastp 3058 spruce|11v1|EX359965 6699 645 84.2 globlastp 3059 spruce|11v1|EX393202 6699 645 84.2 globlastp 3060 spruce|11v1|GW728789XX2 6699 645 84.2 globlastp 3061 thellungiella_halophilum|11v1|BE758566 6700 645 84.2 globlastp 3062 thellungiella_halophilum|11v1|DN773306 6700 645 84.2 globlastp 3063 jatropha|09v1|GO246712_P1 6701 645 84.1 globlastp 3064 abies|11v2|SRR098676X116044_P1 6702 645 83.6 globlastp 3065 catharanthus|11v1|EG560500_P1 6703 645 83.6 globlastp 3066 pseudotsuga|10v1|SRR065119S0004272 6704 645 83.6 globlastp 3067 sesame|12v1|BU668443 6705 645 83.6 globlastp 3068 onion|12v1|SRR073446X105670D1_T1 — 645 83.55 glotblastn 3069 cotton|11v1|BM360106_P1 6706 645 82.9 globlastp 3070 mesostigma|gb166|DN254443_P1 6707 645 82.9 globlastp 3071 mesostigma|gb166|EC726940_P1 6707 645 82.9 globlastp 3072 rye|12v1|DRR001012.104533 6708 645 82.89 glotblastn 3073 clover|gb162|BB909024_P1 6709 645 82.2 globlastp 3074 euphorbia|11v1|DV115835_P1 6710 645 82.2 globlastp 3075 taxus|10v1|SRR065067S0068476 6711 645 81 globlastp 3076 arnica|11v1|SRR099034X109741_T1 6712 645 80.24 glotblastn 3077 sugarcane|10v1|CA084616 6713 646 97.6 globlastp 3078 maize|10v1|BG320850_P1 6714 646 95.6 globlastp 3079 cynodon|10v1|ES297594_P1 6715 646 92.2 globlastp 3080 switchgrass|12v1|FE655376_P1 6716 646 91.7 globlastp 3081 switchgrass|gb167|FE655376 6716 646 91.7 globlastp 3082 millet|10v1|EVO454PM004269_P1 6717 646 91.3 globlastp 3083 foxtail_millet|11v3|PHY7SI036909M_P1 6718 646 90.8 globlastp 3084 switchgrass|gb167|FE626525 6719 646 90.3 globlastp 3085 switchgrass|12v1|FE626525_P1 6719 646 90.3 globlastp 3086 oat|11v1|GO597382_P1 6720 646 86.9 globlastp 3087 rye|12v1|DRR001012.143939 6721 646 86.9 globlastp 3088 pseudoroegneria|gb167|FF340390 6722 646 86.4 globlastp 3089 rye|12v1|DRR001012.114293 6723 646 86.4 globlastp 3090 rye|12v1|DRR001013.157386 6724 646 85.9 globlastp 3091 wheat|12v3|CA620038 6725 646 85.1 globlastp 3092 rice|11v1|AT003489 6726 646 85 globlastp 3093 barley|12v1|BF259164_P1 6727 646 84.5 globlastp 3094 maize|10v1|CF650019_P1 6728 649 87.3 globlastp 3095 maize|10v1|CF624028_P1 6729 650 87.6 globlastp 3096 switchgrass|12v1|FL738039_P1 6730 650 84.8 globlastp 3097 switchgrass|gb167|FL738039 6730 650 84.8 globlastp 3098 foxtail_millet|11v3|PHY7SI031461M_P1 6731 650 82.8 globlastp 3099 switchgrass|12v1|SRRl87769.1032533_P1 6732 650 82.1 globlastp 3100 sugarcane|10v1|AA577651 6733 651 99.3 globlastp 3101 maize|10v1|AI941968_P1 6734 651 98.9 globlastp 3102 maize|10v1|BE453848_P1 6735 651 98.9 globlastp 3103 switchgrass|gb167|DN151885 6736 651 98.4 globlastp 3104 foxtail_millet|11v3|PHY7SI001486M_P1 6737 651 97.9 globlastp 3105 rice|11v1|BI806761 6738 651 97.7 globlastp 3106 barley|12v1|BE412764_P1 6739 651 96.8 globlastp 3107 oat|11v1|GO598315_P1 6740 651 96.8 globlastp 3108 rye|12v1|DRR001012.116086 6739 651 96.8 globlastp 3109 wheat|12v3|BI479831 6739 651 96.8 globlastp 3110 brachypodium|12v1|BRADI2G10780_P1 6741 651 95.2 globlastp 3111 cacao|10v1|CU477674_P1 6742 651 93.6 globlastp 3112 castorbean|12v1|T14894_P1 6743 651 93.6 globlastp 3113 clementine|11v1|CB291402_P1 6744 651 93.4 globlastp 3114 poplar|10v1|BI125925 6745 651 93.4 globlastp 3115 poplar|13v1|BI125925_P1 6745 651 93.4 globlastp 3116 poplar|10v1|BU876008 6746 651 93.4 globlastp 3117 poplar|13v1|BU876008_P1 6746 651 93.4 globlastp 3118 prunus_mume|13v1|DY640313_P1 6747 651 93.2 globlastp 3119 cotton|11v1|BG442148_P1 6748 651 93.2 globlastp 3120 euphorbia|11v1|DV127470_P1 6749 651 93.2 globlastp 3121 gossypium_raimondii|12v1|BG442148_P1 6748 651 93.2 globlastp 3122 prunus|10v1|CN490622 6747 651 93.2 globlastp 3123 grape|11v1|GSVIVT01025835001_P1 6750 651 92.9 globlastp 3124 oil_palm|11v1|EY399362_P1 6751 651 92.9 globlastp 3125 euonymus|11v1|SRR070038X10706_T1 6752 651 92.71 glotblastn 3126 cotton|11v1|AI054691_P1 6753 651 92.7 globlastp 3127 eucalyptus|11v2|AJ627799_P1 6754 651 92.7 globlastp 3128 euonymus|11v1|SRR070038X109231_P1 6755 651 92.7 globlastp 3129 nicotiana_benthamiana|12v1|EH623971_P1 6756 651 92.5 globlastp 3130 amsonia|11v1|SRR098688X111941_P1 6757 651 92.5 globlastp 3131 aristolochia|10v1|SRR039082S0015442_P1 6758 651 92.5 globlastp 3132 monkeyflower|10v1|GR128396 6759 651 92.5 globlastp 3133 monkeyflower|12v1|GR168616_P1 6759 651 92.5 globlastp 3134 triphysaria|10v1|DR175197 6760 651 92.5 globlastp 3135 phyla|11v2|SRR099037X112853_T1 6761 651 92.48 glotblastn 3136 bean|12v2|CA898807_P1 6762 651 92.3 globlastp 3137 nicotiana_benthamiana|12v1|EB428932_P1 6763 651 92.3 globlastp 3138 ambrosia|11v1|SRR346935.110308_P1 6764 651 92.3 globlastp 3139 ambrosia|11v1|SRR346935.164783_P1 6764 651 92.3 globlastp 3140 banana|12v1|BBS742T3_P1 6765 651 92.3 globlastp 3141 watermelon|11v1|AB029113 6766 651 92.3 globlastp 3142 cucurbita|11v1|SRR091276X104159_P1 6767 651 92 globlastp 3143 cassava|09v1|JGICASSAVA30380VALIDM1_P1 6768 651 91.8 globlastp 3144 centaurea|11v1|EH717370_P1 6769 651 91.8 globlastp 3145 centaurea|gb166|EH717370 6769 651 91.8 globlastp 3146 cirsium|11v1|SRR346952.1001071_P1 6769 651 91.8 globlastp 3147 cirsium|11v1|SRR346952.102960_P1 6770 651 91.8 globlastp 3148 soybean|11v1|GLYMA03G00670 6771 651 91.8 globlastp 3149 soybean|12v1|GLYMA03G00670_P1 6771 651 91.8 globlastp 3150 sunflower|12v1|CD855006 6772 651 91.8 globlastp 3151 olea|13v1|SRR014463X47856D1_P1 6773 651 91.6 globlastp 3152 cichorium|gb171|DT213455_P1 6774 651 91.6 globlastp 3153 flaveria|11v1|SRR149229.125719_P1 6775 651 91.6 globlastp 3154 gossypium_raimondii|12v1|AI054691_P1 6776 651 91.6 globlastp 3155 lettuce|12v1|DW058405_P1 6774 651 91.6 globlastp 3156 pigeonpea|11v1|SRR054580X100816_P1 6777 651 91.6 globlastp 3157 plantago|11v2|SRR066373X104231_P1 6778 651 91.6 globlastp 3158 peanut|10v1|ES709894_T1 6779 651 91.57 glotblastn 3159 flaveria|11v1|SRR149232.106043_T1 6780 651 91.34 glotblastn 3160 soybean|11v1|GLYMA19G30100 6781 651 91.3 globlastp 3161 soybean|12v1|GLYMA19G30100P1_P1 6781 651 91.3 globlastp 3162 amborella|12v3|FD427212_P1 6782 651 91.1 globlastp 3163 cassava|09v1|DV453089_P1 6783 651 91.1 globlastp 3164 chestnut|gb170|SRR006295S0001803_P1 6784 651 91.1 globlastp 3165 chickpea|11v1|SRR133517.102503 6785 651 91.1 globlastp 3166 chickpea|13v2|SRR133517.102503_P1 6785 651 91.1 globlastp 3167 oak|10v1|CU657187_P1 6784 651 91.1 globlastp 3168 trigonella|11v1|SRR066194X138797 6786 651 91.1 globlastp 3169 vinca|11v1|SRR098690X117502 6787 651 91.1 globlastp 3170 potato|10v1|BF460323_P1 6788 651 90.9 globlastp 3171 pseudotsuga|10v1|SRR065119S0025090 6789 651 90.9 globlastp 3172 spruce|11v1|ES857077 6790 651 90.9 globlastp 3173 tomato|11v1|BG133951 6791 651 90.9 globlastp 3174 arnica|11v1|SRR099034X115269_T1 6792 651 90.89 glotblastn 3175 maritime_pine|10v1|AL750764_T1 6793 651 90.89 glotblastn 3176 ambrosia|11v1|SRR346935.203357_P1 6794 651 90.7 globlastp 3177 medicago|12v1|AL369598_P1 6795 651 90.7 globlastp 3178 tripterygium|11v1|SRR098677X134816 6796 651 90.7 globlastp 3179 valeriana|11v1|SRR099039X115968 6797 651 90.7 globlastp 3180 abies|11v2|SRR098676X126999_T1 6798 651 90.66 glotblastn 3181 poppy|11v1|SRR030259.100563_P1 6799 651 90.5 globlastp 3182 onion|12v1|CF439443_P1 6800 651 90.4 globlastp 3183 solanum_phureja|09v1|SPHBG133951 6801 651 90.4 globlastp 3184 tomato|11v1|BG125980 6802 651 90.4 globlastp 3185 vinca|11v1|SRR098690X102427 6803 651 90.4 globlastp 3186 pine|10v2|AW064639_T1 6804 651 90.21 glotblastn 3187 artemisia|10v1|GW330237_P1 6805 651 90.2 globlastp 3188 millet|10v1|CD726085_P1 6806 651 90.2 globlastp 3189 oak|10v1|CU656491_P1 6807 651 90.2 globlastp 3190 solanum_phureja|09v1|SPHBG125980 6808 651 90.2 globlastp 3191 phalaenopsis|11v1|CB033277XX1_T1 6809 651 90 glotblastn 3192 strawberry|11v1|SRR034865S0022554 6810 651 90 globlastp 3193 plantago|11v2|SRR066373X121450_T1 6811 651 89.98 glotblastn 3194 sunflower|12v1|CD854950 6812 651 89.7 globlastp 3195 aquilegia|10v2|DR926014_P1 6813 651 89.3 globlastp 3196 silene|11v1|SRR096785X151884 6814 651 89.3 globlastp 3197 soybean|11v1|GLYMA05G14170 6815 651 89.3 globlastp 3198 soybean|12v1|GLYMA05G14170_P1 6815 651 89.3 globlastp 3199 cephalotaxus|11v1|SRR064395X106738_P1 6816 651 89.1 globlastp 3200 blueberry|12v1|SRR353282X16584D1_T1 6817 651 89.07 glotblastn 3201 soybean|11v1|GLYMA19G17660 6818 651 88.8 globlastp 3202 soybean|12v1|GLYMA19G17660_P1 6818 651 88.8 globlastp 3203 solanum_phureja|09v1|SPHBQ518988 6819 651 88.6 globlastp 3204 tomato|11v1|BQ518988 6820 651 88.4 globlastp 3205 podocarpus|10v1|SRR065014S0020450_T1 6821 651 87.93 glotblastn 3206 beech|11v1|SRR006293.18332_P1 6822 651 87.5 globlastp 3207 pseudoroegneria|gb167|FF343185 6823 651 87.2 globlastp 3208 ceratodon|10v1|SRR074890S0017271_P1 6824 651 87 globlastp 3209 orange|11v1|CB291402_P1 6825 651 87 globlastp 3210 spikemoss|gb165|FE459932 6826 651 87 globlastp 3211 gnetum|10v1|SRR064399S0002380_P1 6827 651 86.8 globlastp 3212 physcomitrella|10v1|BJ948943_P1 6828 651 86.8 globlastp 3213 physcomitrella|10v1|BY951095_P1 6829 651 86.6 globlastp 3214 sesame|12v1|SRR197996S268919 6830 651 86.6 globlastp 3215 physcomitrella|10v1|BY959963_P1 6831 651 86.3 globlastp 3216 safflower|gb162|EL373776 6832 651 86.3 globlastp 3217 thellungiella_halophilum|11v1|DN776355 6833 651 85.4 globlastp 3218 switchgrass|12v1|DN151885_P1 6834 651 84.7 globlastp 3219 centaurea|11v1|EH755352_P1 6835 651 84.3 globlastp 3220 arabidopsis_lyrata|09v1|JGIAL013630_P1 6836 651 84.3 globlastp 3221 canola|11v1|DR697811_P1 6837 651 84.3 globlastp 3222 pteridium|11v1|SRR043594X105728 6838 651 84.3 globlastp 3223 radish|gb164|EV525450 6839 651 84.3 globlastp 3224 thellungiella_parvulum|11v1|DN776355 6840 651 84.3 globlastp 3225 b_juncea|12v1|E6ANDIZ01A2O2F_P1 6841 651 84.1 globlastp 3226 b_rapa|11v1|CD836540_P1 6842 651 84.1 globlastp 3227 arabidopsis|10v1|AT2G26990_P1 6843 651 83.8 globlastp 3228 b_rapa|11v1|BQ791498_P1 6844 651 83.8 globlastp 3229 canola|11v1|EE405876_P1 6844 651 83.8 globlastp 3230 zostera|10v1|SRR057351S0016657 6845 651 83.48 glotblastn 3231 zostera|12v1|SRR057351X16656D1_P1 6846 651 83.4 globlastp 3232 canola|11v1|CN829705_P1 6847 651 82.9 globlastp 3233 apple|11v1|CN903733_T1 6848 651 82.77 glotblastn 3234 pine|10v2|DR181028_P1 6849 651 82.3 globlastp 3235 b_juncea|12v1|E6ANDIZ01BK6Y2_P1 6850 651 82.2 globlastp 3236 canola|11v1|ES956907_P1 6851 651 82.2 globlastp 3237 phyla|11v2|SRR099035X113355_P1 6852 651 81.8 globlastp 3238 maize|10v1|AI396488_P1 6853 652 95.1 globlastp 3239 foxtail_millet|11v3|EC613545_P1 6854 652 91.5 globlastp 3240 switchgrass|12v1|FL722154_P1 6855 652 91.4 globlastp 3241 millet|10v1|EVO454PM005730_P1 6856 652 88.2 globlastp 3242 rice|11v1|AU056143_P1 6857 652 84.4 globlastp 3243 brachypodium|12v1|BRADI2Gl1490_P1 6858 652 81.3 globlastp 3244 maize|10v1|CO521347_P1 6859 653 86.9 globlastp 3245 maize|10v1|GRMZM2G013481T01_P1 6860 653 82.7 globlastp 3246 foxtail_millet|11v3|PHY7SI001170M_P1 6861 653 81.7 globlastp 3247 switchgrass|gb167|FE597776 6862 653 81.7 globlastp 3248 sugarcane|10v1|CA076988 6863 654 94.3 globlastp 3249 switchgrass|gb167|DN143458 6864 654 87.3 globlastp 3250 switchgrass|gb167|FL790768 6865 654 87.3 globlastp 3251 switchgrass|12v1|DN143458_P1 6864 654 87.3 globlastp 3252 maize|10v1|AI637145_P1 6866 654 86.9 globlastp 3253 foxtail_millet|11v3|PHY7SI010718M_P1 6867 654 86.1 globlastp 3254 millet|10v1|EVO454PM013400_P1 6868 654 80.9 globlastp 3255 sugarcane|10v1|CA110549 6869 655 98.7 globlastp 3256 switchgrass|12v1|FL936357_P1 6870 655 96.2 globlastp 3257 maize|10v1|CF627898_P1 6871 655 93.8 globlastp 3258 cynodon|10v1|ES298778_P1 6872 655 93.7 globlastp 3259 sugarcane|10v1|CA116416 6873 655 93.7 globlastp 3260 switchgrass|12v1|FE602476_P1 6874 655 92.8 globlastp 3261 switchgrass|gb167|FE602476 6874 655 92.8 globlastp 3262 millet|10v1|PMSLX0015697D1_P1 6875 655 92.4 globlastp 3263 sorghum|12v1|SB03G001890 6876 655 92.4 globlastp 3264 wheat|12v3|CA486543 6876 655 92.4 globlastp 3265 maize|10v1|BG267487_P1 6877 655 91.1 globlastp 3266 foxtail_millet|11v3|PHY7SI003590M_P1 6878 655 89.9 globlastp 3267 sugarcane|10v1|CA300742 6879 655 88.61 glotblastn 3268 switchgrass|12v1|FL770757_P1 6880 655 88.6 globlastp 3269 switchgrass|12v1|DN144939_P1 6880 655 88.6 globlastp 3270 switchgrass|gb167|DN144939 6880 655 88.6 globlastp 3271 switchgrass|12v1|FL935819_P1 6880 655 88.6 globlastp 3272 switchgrass|gb167|FL770757 6880 655 88.6 globlastp 3273 rice|11v1|BX898318 6881 655 88.5 globlastp 3274 foxtail_millet|11v3|SICRP041315_P1 6882 655 87.7 globlastp 3275 rice|11v1|BM038666 6883 655 87.3 globlastp 3276 barley|12v1|BE193278_P1 6884 655 84.7 globlastp 3277 rye|12v1|DRR001012.106228 6885 655 84.7 globlastp 3278 wheat|12v3|BE401123 6886 655 84.7 globlastp 3279 oat|11v1|SRR020741.357758_T1 6887 655 81.61 glotblastn 3280 brachypodium|12v1|BRADI2G06930_P1 6888 655 80.5 globlastp 3281 sugarcane|10v1|CA154279 6889 656 82.2 globlastp 3282 sugarcane|10v1|CA065678 6890 657 97 globlastp 3283 maize|10v1|AI932203_P1 6891 657 96.7 globlastp 3284 foxtail_millet|11v3|EC611910_T1 6892 657 92.7 glotblastn 3285 switchgrass|gb167|DN150553 6893 657 92.3 globlastp 3286 switchgrass|12v1|DN150553_P1 6894 657 92 globlastp 3287 millet|10v1|EVO454PM011444_P1 6895 657 91.8 globlastp 3288 switchgrass|12v1|DN151303_T1 6896 657 91.49 glotblastn 3289 rice|11v1|AU057478 6897 657 88.9 globlastp 3290 brachypodium|12v1|BRADI2G19326_P1 6898 657 88 globlastp 3291 barley|12v1|BI947807_P1 6899 657 86.6 globlastp 3292 rye|12v1|DRR001012.141872 6900 657 86.4 globlastp 3293 rye|12v1|DRR001012.318622 6901 657 86.39 glotblastn 3294 rye|12v1|DRR001012.254493 6902 657 84.8 globlastp 3295 rye|12v1|DRR001013.258882 6903 657 82.72 glotblastn 3296 brachypodium|12v1|BRADI2G49280_P1 6904 657 82.5 globlastp 3297 rye|12v1|BE637307 6905 657 81.9 globlastp 3298 rice|11v1|AU082277 6906 657 81.4 globlastp 3299 maize|10v1|AI600686_P1 6907 657 81.1 globlastp 3300 rye|12v1|DRR001012.142448 6908 657 80.84 glotblastn 3301 switchgrass|12v1|FL712047_P1 6909 657 80.8 globlastp 3302 barley|12v1|BF261099_P1 6910 657 80.6 globlastp 3303 switchgrass|12v1|FL691024_P1 6911 657 80.4 globlastp 3304 switchgrass|gb167|FL691024 6911 657 80.4 globlastp 3305 wheat|12v3|BF474139 6912 657 80.4 globlastp 3306 rye|12v1|DRR001012.142799 6913 657 80.3 globlastp 3307 sorghum|12v1|SB03G034060 6914 657 80.27 glotblastn 3308 millet|10v1|EVO454PM003766_P1 6915 657 80.2 globlastp 3309 sugarcane|10v1|CA074352 6916 658 98.3 globlastp 3310 switchgrass|12v1|DN151653_P1 6917 658 96.2 globlastp 3311 switchgrass|12v1|FE628285_P1 6918 658 96.1 globlastp 3312 foxtail_millet|11v3|PHY7SI005731M_P1 6919 658 95.9 globlastp 3313 maize|10v1|AW066998_P1 6920 658 95.1 globlastp 3314 switchgrass|gb167|FE630258 6921 658 93.7 globlastp 3315 millet|10v1|EVO454PM002624_P1 6922 658 93 globlastp 3316 rice|11v1|BE229866 6923 658 92.2 globlastp 3317 brachypodium|12v1|BRADI1G46230_P1 6924 658 89.9 globlastp 3318 rye|12v1|DRR001012.104803 6925 658 89 globlastp 3319 rye|12v1|DRR001012.109533 6925 658 89 globlastp 3320 wheat|12v3|BE515801 6926 658 86.7 globlastp 3321 rye|12v1|DRR001012.14078 6927 658 85.2 globlastp 3322 wheat|12v3|BE429144_P1 6928 658 80.8 globlastp 3323 foxtail_millet|11v3|PHY7SI005798M_P1 6929 659 82.2 globlastp 3324 maize|10v1|SRR014549S0022069_P1 6930 659 81.7 globlastp 3325 cowpea|12v1|FG938043_P1 6931 660 86.1 globlastp 3326 soybean|11v1|GLYMA19G38100 6932 660 85.2 globlastp 3327 soybean|12v1|GLYMA19G38100_P1 6932 660 85.2 globlastp 3328 bean|12v2|CA915339_P1 6933 660 84.3 globlastp 3329 bean|12v1|CA915339 6933 660 84.3 globlastp 3330 lotus|09v1|GO019465_P1 6934 660 83.3 globlastp 3331 pigeonpea|11v1|SRR054580X10059_P1 6935 660 83.3 globlastp 3332 chickpea|13v2|SRR133517.575663_P1 6936 660 80.6 globlastp 3333 peanut|10v1|GO342698_T1 6937 660 80.56 glotblastn 3334 soybean|11v1|GLYMA04G43300 6938 661 97.8 globlastp 3335 soybean|12v1|GLYMA04G43300T2_P1 6938 661 97.8 globlastp 3336 pigeonpea|11v1|SRR054580X291223_P1 6939 661 97 globlastp 3337 chickpea|11v1|SRR133517.1533 6940 661 95.6 globlastp 3338 chickpea|13v2|SRR133517.224160_P1 6940 661 95.6 globlastp 3339 cowpea|12v1|FF549703_P1 6941 661 95.6 globlastp 3340 lotus|09v1|LLBI420463_P1 6942 661 95.6 globlastp 3341 bean|12v2|SRR001334.164203_P1 6943 661 94.1 globlastp 3342 liquorice|gb171|FS242023_P1 6944 661 94.1 globlastp 3343 medicago|12v1|AL379894_P1 6945 661 94.1 globlastp 3344 peanut|10v1|FF126206_P1 6946 661 94.1 globlastp 3345 trigonella|11v1|SRR066194X108510 6945 661 94.1 globlastp 3346 pea|11v1|FG535587_P1 6947 661 90.4 globlastp 3347 cacao|10v1|CU475574_P1 6948 661 88.1 globlastp 3348 castorbean|12v1|XM_002513790_P1 6949 661 87.4 globlastp 3349 chestnut|gb170|SRR006295S0058141_P1 6950 661 87.4 globlastp 3350 solanum_phureja|09v1|SPHB1210247 6951 661 86.8 globlastp 3351 tobacco|gb162|DVI57543 6952 661 86.8 globlastp 3352 beech|11v1|SRR006293.11243_P1 6953 661 86.7 globlastp 3353 Clementine|11v1|CX640424_P1 6954 661 86.7 globlastp 3354 cleome_spinosa|10v1|GR931729_P1 6955 661 86.7 globlastp 3355 nax|11v1|JG022460_P1 6956 661 86.7 globlastp 3356 nax|11v1|JG026610_P1 6957 661 86.7 globlastp 3357 oak|10v1|FP042586_P1 6958 661 86.7 globlastp 3358 tomato|11v1|BI210247 6959 661 86 globlastp 3359 cucurbita|11v1|SRR091276X115885_T1 6960 661 85.93 glotblastn 3360 cassava|09v1|JGICASSAVA36154VALIDM1_P1 6961 661 85.9 globlastp 3361 cotton|11v1|DR459043_P1 6962 661 85.9 globlastp 3362 cucumber|09v1|AM720808_P1 6963 661 85.9 globlastp 3363 euphorbia|11v1|SRR098678X105121_P1 6964 661 85.9 globlastp 3364 ipomoea_nil|10v1|BJ557095_P1 6965 661 85.9 globlastp 3365 melon|10v1|AM720808_P1 6966 661 85.9 globlastp 3366 orange|11v1|CX640424_P1 6967 661 85.9 globlastp 3367 watermelon|11v1|AM740273 6966 661 85.9 globlastp 3368 apple|11v1|CN488504_P1 6968 661 85.2 globlastp 3369 cleome_gynandra|10v1|SRR015532S0011206_P1 6969 661 85.2 globlastp 3370 cotton|11v1|DT569102XX2_P1 6970 661 85.2 globlastp 3371 cucurbita|11v1|SRR091276X118557_P1 6971 661 85.2 globlastp 3372 euonymus|11v1|SRR070038X125307_P1 6972 661 85.2 globlastp 3373 gossypium_raimondii|12v1|DR459043_P1 6973 661 85.2 globlastp 3374 nasturtium|11v1|SRR032558.107200_P1 6974 661 85.2 globlastp 3375 strawberry|11v1|EX663963 6975 661 85.2 globlastp 3376 tripterygium|11v1|SRR098677X125486 6976 661 85.2 globlastp 3377 flaveria|11v1|SRR149244.84482_T1 6977 661 84.44 glotblastn 3378 jatropha|09v1|GO247666_T1 6978 661 84.44 glotblastn 3379 artemisia|10v1|EY070433_P1 6979 661 84.4 globlastp 3380 artemisia|10v1|SRR019254S0100726_P1 6979 661 84.4 globlastp 3381 cannabis|12v1|SOLX00051864_P1 6980 661 84.4 globlastp 3382 chelidonium|11v1|SRR084752X19452_P1 6981 661 84.4 globlastp 3383 cichorium|gb171|EH703976_P1 6982 661 84.4 globlastp 3384 cotton|11v1|BG444423_P1 6983 661 84.4 globlastp 3385 cotton|11v1|DW238196_P1 6984 661 84.4 globlastp 3386 eucalyptus|11v2|SRR001658X6931_P1 6985 661 84.4 globlastp 3387 flaveria|11v1|SRR149229.247145_P1 6986 661 84.4 globlastp 3388 gossypium_raimondii|12v1|BG444423_P1 6983 661 84.4 globlastp 3389 gossypium_raimondii|12v1|DT569102_P1 6987 661 84.4 globlastp 3390 grape|11v1|GSVIVT01008943001_P1 6988 661 84.4 globlastp 3391 humulus|11v1|EX519738_P1 6980 661 84.4 globlastp 3392 poplar|10v1|AI165677 6989 661 84.4 globlastp 3393 poplar|13v1|AI165677_P1 6989 661 84.4 globlastp 3394 poppy|11v1|FE964787_P1 6990 661 84.4 globlastp 3395 poppy|11v1|SRR030259.167215_P1 6990 661 84.4 globlastp 3396 poppy|11v1|SRR096789.113148_P1 6990 661 84.4 globlastp 3397 thalictrum|11v1|SRR096787X154209 6991 661 84.4 globlastp 3398 nicotiana_benthamiana|gb162|CN746865 6992 661 83.8 globlastp 3399 amsonia|11v1|SRR098688X105761_P1 6993 661 83.7 globlastp 3400 b_juncea|12v1|E6ANDIZ01C0JEQ_P1 6994 661 83.7 globlastp 3401 b_juncea|12v1|E6ANDIZ01ENV7R_P1 6994 661 83.7 globlastp 3402 b_rapa|11v1|AM385563_P1 6994 661 83.7 globlastp 3403 canola|11v1|EE477425_P1 6994 661 83.7 globlastp 3404 catharanthus|11v1|SRR098691X103316_P1 6995 661 83.7 globlastp 3405 cirsium|11v1|SRR346952.102640_P1 6996 661 83.7 globlastp 3406 dandelion|10v1|DY836116_P1 6997 661 83.7 globlastp 3407 eschscholzia|11v1|SRR014116.124609_P1 6998 661 83.7 globlastp 3408 euonymus|11v1|SRR070038X103789_P1 6999 661 83.7 globlastp 3409 euonymus|11v1|SRR070038X443976_P1 7000 661 83.7 globlastp 3410 euphorbia|11v1|DV126650_P1 7001 661 83.7 globlastp 3410 spurge|gb161|DV126650 7001 661 83.7 globlastp 3411 fagopyrum|11v1|SRR063703X103971_T1 7002 661 83.7 glotblastn 3412 kiwi|gb166|FG410748_P1 7003 661 83.7 globlastp 3413 lettuce|12v1|DW050122_P1 7004 661 83.7 globlastp 3414 radish|gb164|EV529131 6994 661 83.7 globlastp 3415 radish|gb164|EV544211 7005 661 83.7 globlastp 3416 radish|gb164|EW725749 6994 661 83.7 globlastp 3417 radish|gb164|EX770883 6994 661 83.7 globlastp 3418 radish|gb164|FD970891 6994 661 83.7 globlastp 3419 sunflower|12v1|EL487785 7006 661 83.7 globlastp 3420 valeriana|11v1|SRR099039X124935 7007 661 83.7 globlastp 3421 valeriana|11v1|SRR099039X36534 7007 661 83.7 globlastp 3422 vinca|11v1|SRR098690X205121 7008 661 83.7 globlastp 3423 centaurea|11v1|EH737429_P1 7009 661 83 globlastp 3424 centaurea|11v1|EH785456_P1 7009 661 83 globlastp 3425 peach|gb157.2|AJ823102_P1 7010 661 83 globlastp 3426 ambrosia|11v1|SRR346943.179652_P1 7011 661 83 globlastp 3427 arabidopsis_lyrata|09v1|JGIAL003809_P1 7012 661 83 globlastp 3428 arabidopsis|10v1|AT1G36980_P1 7012 661 83 globlastp 3429 aristolochia|10v1|FD752910_P1 7013 661 83 globlastp 3430 b_oleracea|gb161|AM385563_P1 7014 661 83 globlastp 3431 blueberry|12v1|SRR353282X16196D1_P1 7015 661 83 globlastp 3432 centaurea|gb166|EH737429 7009 661 83 globlastp 3433 cirsium|11v1|SRR346952.1027758_P1 7009 661 83 globlastp 3434 cleomespinosa|10v1|GR930922_P1 7016 661 83 globlastp 3435 euonymus|11v1|SRR070038X133921_P1 7017 661 83 globlastp 3436 flaveria|11v1|SRR149245.189891_P1 7018 661 83 globlastp 3437 guizotia|10v1|GE553450_P1 7019 661 83 globlastp 3438 platanus|11v1|SRR096786X127458_P1 7020 661 83 globlastp 3439 poplar|10v1|BU891793 7021 661 83 globlastp 3440 poplar|13v1|BU891793_P1 7022 661 83 globlastp 3441 prunus|10v1|CB819061 7010 661 83 globlastp 3442 scabiosa|11v1|SRR063723X101694 7023 661 83 globlastp 3443 tabernaemontana|11v1|SRR098689X101508 7024 661 83 globlastp 3444 thellungiella_halophilum|11v1|BY807852 7025 661 83 globlastp 3445 thellungiella_parvulum|11v1|BY807852 7026 661 83 globlastp 3446 utricularia|11v1|SRR094438.100900 7027 661 83 globlastp 3447 walnuts|gb166|CV198107 7028 661 83 globlastp 3448 fagopyrum|11v1|SRR063689X106595_T1 7029 661 82.96 glotblastn 3449 arnica|11v1|SRR099034X269189_T1 — 661 82.96 glotblastn 3450 sunflower|12v1|EE635394 7030 661 82.4 globlastp 3451 ambrosia|11v1|SRR346935.521531_T1 7031 661 82.22 glotblastn 3452 sunflower|12v1|DY953735 7032 661 82.22 glotblastn 3453 antirrhinum|gb166|AJ560024_P1 7033 661 82.2 globlastp 3454 cynara|gb167|GE590748_P1 7034 661 82.2 globlastp 3455 flaveria|11v1|SRR149229.213310_P1 7035 661 82.2 globlastp 3456 plantago|11v2|SRR066373X102369_P1 7036 661 82.2 globlastp 3457 rhizophora|10v1|SRR005793S0014453 7037 661 82.2 globlastp 3458 silene|11v1|GH292314 7038 661 82.2 globlastp 3459 silene|11v1|SRR096785X134112 7039 661 82.2 globlastp 3460 tea|10v1|GE650230 7040 661 82.2 globlastp 3461 beet|12v1|CK136709_P1 7041 661 81.5 globlastp 3462 radish|gb164|EW716990 7042 661 81.5 globlastp 3463 rose|12v1|SRR397984.19572 7043 661 81.5 globlastp 3464 sesame|12v1|SESI12V1242066 7044 661 81.5 globlastp 3465 safflower|gb162|EL405269 7045 661 81.48 glotblastn 3466 phyla|11v2|SRR099037X142101_T1 7046 661 80.74 glotblastn 3467 triphysaria|10v1|SRR023500S0010336 7047 661 80.74 glotblastn 3468 olea|13v1|SRR014464X2072D1_P1 7048 661 80.7 globlastp 3469 amorphophallus|11v2|SRR089351X138647_P1 7049 661 80.7 globlastp 3470 monkeyflower|10v1|GR037920 7050 661 80.7 globlastp 3471 monkeyflower|12v1|GR037921_P1 7050 661 80.7 globlastp 3472 orobanche|10v1|SRR023189S0020330_P1 7051 661 80.7 globlastp 3473 phyla|11v2|SRR099035X106217_P1 7052 661 80.7 globlastp 3474 platanus|11v1|SRR096786X123476_P1 7053 661 80.7 globlastp 3475 fraxinus|11v1|SRR058827.107115_P1 7054 661 80.3 globlastp 3476 bruguiera|gb166|BP945233_P1 7055 661 80 globlastp 3477 primula|11v1|SRR098679X141285_T1 7056 661 80 glotblastn 3478 sesame|12v1|SESI12V1255028 7057 661 80 globlastp 3479 soybean|11v1|GLYMA08G22510 7058 662 82.8 globlastp 3480 soybean|12v1|GLYMA08G22510_P1 7058 662 82.8 globlastp 3481 soybean|11v1|GLYMA15G05100 7059 663 96.5 globlastp 3482 soybean|12v1|GLYMA15G05100_P1 7059 663 96.5 globlastp 3483 pigeonpea|11v1|SRR054580X121984_P1 7060 663 91.3 globlastp 3484 cowpea|12v1|FF395717_P1 7061 663 89.6 globlastp 3485 bean|12v2|CA913094_P1 7062 663 88.9 globlastp 3486 bean|12v1|CA913094 7063 663 86.1 globlastp 3487 medicago|12v1|AW685080_P1 7064 663 85.4 globlastp 3488 peanut|10v1|ES720983_P1 7065 663 85.4 globlastp 3489 trigonella|11v1|SRR066194X150097 7066 663 84.7 globlastp 3490 chickpea|11v1|SRR133517.290513 7067 663 83.7 globlastp 3491 chickpea|13v2|SRR133517.290513_P1 7067 663 83.7 globlastp 3492 cacao|10v1|CA796237_P1 7068 663 80.2 globlastp 3493 soybean|11v1|GLYMA07G09230 7069 664 99 globlastp 3494 soybean|12v1|GLYMA07G09230_P1 7069 664 99 globlastp 3495 cowpea|12v1|FF384990_P1 7070 664 95.6 globlastp 3496 pigeonpea|11v1|GR466312_P1 7071 664 95.1 globlastp 3497 bean|12v2|CA896990_P1 7072 664 91.3 globlastp 3498 liquorice|gb171|FS245051_P1 7073 664 91.3 globlastp 3499 chickpea|13v2|SRR133517.127065_P1 7074 664 89.8 globlastp 3500 medicago|12v1|BF645221_P1 7075 664 88.8 globlastp 3501 pigeonpea|11v1|SRR054580X311299_P1 7076 664 88.8 globlastp 3502 trigonella|11v1|SRR066194X167645 7077 664 88.8 globlastp 3503 chickpea|11v1|GR408372 7078 664 88.3 globlastp 3504 chickpea|13v2|GR408372_P1 7078 664 88.3 globlastp 3505 lotus|09v1|CB829390_P1 7079 664 85.9 globlastp 3506 prunus|10v1|BU043083 7080 664 84.5 globlastp 3507 apple|11v1|CN578871_T1 7081 664 84.47 glotblastn 3508 prunus_mume|13v1|BU045798_P1 7082 664 84 globlastp 3509 clementine|11v1|CB610770_P1 7083 664 84 globlastp 3510 euphorbia|11v1|AW944689_P1 7084 664 84 globlastp 3511 oak|10v1|SRR006307S0005449_P1 7085 664 84 globlastp 3512 watermelon|11v1|DV633132 7086 664 83.6 globlastp 3513 grape|11v1|GSVIVT01015349001_P1 7087 664 83.5 globlastp 3514 humulus|11v1|SRR098683X103251_P1 7088 664 83.5 globlastp 3515 tripterygium|11v1|SRR098677X11113 7089 664 83.5 globlastp 3516 beech|11v1|SRR006293.30095_P1 7090 664 83 globlastp 3517 chestnut|gb170|SRR006295S0023952_P1 7091 664 83 globlastp 3518 nasturtium|11v1|SRR032558.248195_P1 7092 664 83 globlastp 3519 beech|11v1|SRR006293.28912_P1 7093 664 82.5 globlastp 3520 cacao|10v1|CA798448_P1 7094 664 82.5 globlastp 3521 cotton|11v1|DV850036_P1 7095 664 82.5 globlastp 3522 cotton|11v1|DW484523_P1 7095 664 82.5 globlastp 3523 gossypium_raimondii|12v1|DV850036_P1 7095 664 82.5 globlastp 3524 heritiera|10v1|SRR005794S0001798_P1 7096 664 82.5 globlastp 3525 sesame|12v1|SESI12V1399863 7097 664 82.5 globlastp 3526 flaveria|11v1|SRR149232.13754_T1 7098 664 82.04 glotblastn 3527 cassava|09v1|DV448411_P1 7099 664 82 globlastp 3528 euonymus|11v1|SRR070038X352059_P1 7100 664 82 globlastp 3529 poplar|10v1|BI130347 7101 664 82 globlastp 3530 poplar|13v1|BI130347_P1 7101 664 82 globlastp 3531 castorbean|12v1|XM002514219_P1 7102 664 81.6 globlastp 3532 olea|13v1|SRR014464X28214D1_P1 7103 664 81.6 globlastp 3533 cannabis|12v1|SOLX00001727_P1 7104 664 81.6 globlastp 3534 castorbean|11v1|XM_002514219 7102 664 81.6 globlastp 3535 cotton|11v1|AI726553_P1 7105 664 81.6 globlastp 3536 tabernaemontana|11v1|SRR098689X137108 7106 664 81.6 globlastp 3537 cannabis|12v1|SOLX00054706_T1 7107 664 81.55 glotblastn 3538 eucalyptus|11v2|CT982143_T1 7108 664 81.55 glotblastn 3539 melon|10v1|DV633132_P1 7109 664 81.2 globlastp 3540 primula|11v1|SRR098679X10210_P1 7110 664 81.2 globlastp 3541 olea|13v1|SRR014466X5637D1_P1 7111 664 81.1 globlastp 3542 antirrhinum|gb166|AJ560029_P1 7112 664 81.1 globlastp 3543 blueberry|12v1|CF811518_P1 7113 664 81.1 globlastp 3544 kiwi|gb166|FG399558_P1 7114 664 81.1 globlastp 3545 flaveria|11v1|SRR149229.174318_P1 7115 664 80.8 globlastp 3546 sunflower|12v1|CD855541 7116 664 80.8 globlastp 3547 sunflower|12v1|EE642451 7116 664 80.8 globlastp 3548 cucumber|09v1|DV633132_P1 7117 664 80.7 globlastp 3549 prunus_mume|13v1|PMBJFU12017632_P1 7118 664 80.6 globlastp 3550 centaurea|11v1|EH780567_T1 7119 664 80.58 glotblastn 3551 cirsium|11v1|SRR346952.1003427_T1 7119 664 80.58 glotblastn 3552 cirsium|11v1|SRR346952.102086_T1 7120 664 80.58 glotblastn 3553 fraxinus|11v1|SRR058827.171336_T1 7121 664 80.58 glotblastn 3554 ambrosia|11v1|SRR346935.165509_P1 7122 664 80.3 globlastp 3555 flaveria|11v1|SRR149229.499363_P1 7123 664 80.3 globlastp 3556 centaurea|11v1|EH732220_T1 7124 664 80.1 glotblastn 3557 b_juncea|12v1|E6ANDIZ01C390H_P1 7125 664 80.1 globlastp 3558 b_juncea|12v1|E6ANDIZ01CPHEG_P1 7125 664 80.1 globlastp 3559 b_oleracea|gb161|DY028354_P1 7125 664 80.1 globlastp 3560 b_rapa|11v1|BG544180_P1 7125 664 80.1 globlastp 3561 canola|11v1|CN726117_P1 7125 664 80.1 globlastp 3562 canola|11v1|CN736264_P1 7125 664 80.1 globlastp 3563 centaurea|gb166|EH732220 7126 664 80.1 glotblastn 3564 lettuce|12v1|DW093096_T1 7127 664 80.1 glotblastn 3565 monkeyflower|10v1|GR085098 7128 664 80.1 globlastp 3566 monkeyflower|12v1|GR145075_P1 7128 664 80.1 globlastp 3567 orobanche|10v1|SRR023189S0008854_P1 7129 664 80.1 globlastp 3568 radish|gb164|EV528371 7125 664 80.1 globlastp 3569 radish|gb164|EX750294 7125 664 80.1 globlastp 3570 bean|12v2|CB539867_P1 7130 665 85.8 globlastp 3571 pigeonpea|11v1|SRR054580X1192_P1 7131 665 82.1 globlastp 3572 soybean|12v1|GLYMA17G05000_T1 7132 666 95.81 glotblastn 3573 soybean|11v1|GLYMA17G05000 7133 666 88.4 globlastp 3574 bean|12v2|FE897475_P1 7134 666 88.2 globlastp 3575 bean|12v1|FE897475 7134 666 88.2 globlastp 3576 lotus|09v1|AW428750_P1 7135 666 82.2 globlastp 3577 pigeonpea|11v1|SRR054580X20040_P1 7136 667 89.4 globlastp 3578 cowpea|12v1|FG851264_P1 7137 667 85 globlastp 3579 bean|12v2|SRR001335.259534_P1 7138 667 84.3 globlastp 3580 bean|12v1|SRR001334.257821 7138 667 84.3 globlastp 3581 chickpea|13v2|SRR133517.17277_P1 7139 667 81.7 globlastp 3582 chickpea|11v1|SRR133517.17277 7140 667 81.4 globlastp 3583 bean|12v2|FE897233_P1 7141 668 89.6 globlastp 3584 pigeonpea|11v1|SRR054580X108302_P1 7142 668 83.9 globlastp 3585 lotus|09v1|GO023895_P1 7143 668 81.8 globlastp 3586 soybean|11v1|GLYMA02G10470 7144 669 97.5 globlastp 3587 soybean|12v1|GLYMA02G10470_P1 7144 669 97.5 globlastp 3588 pigeonpea|11v1|SRR054580X101289_P1 7145 669 95.8 globlastp 3589 bean|12v2|CA900637_P1 7146 669 94.7 globlastp 3590 bean|12v1|CA900637 7146 669 94.7 globlastp 3591 chickpea|13v2|CD766047_P1 7147 669 93.3 globlastp 3592 medicago|12v1|AW171668_P1 7148 669 92.8 globlastp 3593 soybean|11v1|GLYMA20G23200 7149 669 88.8 globlastp 3594 soybean|12v1|GLYMA20G23200_P1 7149 669 88.8 globlastp 3595 lotus|09v1|CRPLJ004964_P1 7150 669 88.2 globlastp 3596 pigeonpea|11v1|SRR054580X108320_P1 7151 669 88.2 globlastp 3597 bean|12v2|SRR001334.240240_P1 7152 669 87.9 globlastp 3598 chickpea|13v2|FE673041_P1 7153 669 85.7 globlastp 3599 watermelon|11v1|AM737897 7154 669 81.65 glotblastn 3600 cucumber|09v1|DV737634_T1 7155 669 81.46 glotblastn 3601 thellungiella_halophilum|11v1|DN776865 7156 669 80.4 globlastp 3602 soybean|11v1|GLYMA16G04520 7157 670 97.3 globlastp 3603 soybean|12v1|GLYMA16G04510_P1 7157 670 97.3 globlastp 3604 pigeonpea|11v1|SRR054580X109447_T1 7158 670 91.21 glotblastn 3605 bean|12v2|CA910607_P1 7159 670 90.8 globlastp 3606 chickpea|13v2|SRR133517.187864_P1 7160 670 84.1 globlastp 3607 lotus|09v1|BW594470_P1 7161 670 82.7 globlastp 3608 trigonella|11v1|SRR066194X185876 7162 670 82.37 glotblastn 3609 pea|11v1|AF139187_P1 7163 670 82.3 globlastp 3610 medicago|12v1|AW256421_P1 7164 670 81.4 globlastp 3611 cowpea|12v1|FG818026_T1 7165 670 80.37 glotblastn 3612 peanut|10v1|ES722519_P1 7166 670 80.2 globlastp 3613 solanum_phureja|09v1|SPHAA824906 7167 672 99.3 globlastp 3614 eggplant|10v1|FS017432_P1 7168 672 98.6 globlastp 3615 tobacco|gb162|DW002909 7169 672 98.6 globlastp 3616 pepper|12v1|BM064462_P1 7170 672 97.1 globlastp 3617 petunia|gb171|CV292833_P1 7171 672 96.5 globlastp 3618 ipomoea_nil|10v1|CJ754261_P1 7172 672 93.5 globlastp 3619 nicotiana_benthamiana|12v1|DV158950_P1 7173 672 92.8 globlastp 3620 nicotiana_benthamiana|12v1|GO612443_P1 7174 672 92.8 globlastp 3621 eucalyptus|11v2|CD669763_P1 7175 672 92.8 globlastp 3622 papaya|gb165|EX266017_P1 7176 672 92.8 globlastp 3623 tobacco|gb162|DV158950 7173 672 92.8 globlastp 3624 sarracenia|11v1|SRR192669.14552 7177 672 92 globlastp 3625 tabernaemontana|11v1|SRR098689X102972 7178 672 92 globlastp 3626 tripterygium|11v1|SRR098677X130152 7179 672 92 globlastp 3627 vinca|11v1|SRR098690X322602 7180 672 92 globlastp 3628 amsonia|11v1|SRR098688X129449_P1 7181 672 91.3 globlastp 3629 beech|11v1|SRR006294.27495_P1 7182 672 91.3 globlastp 3630 blueberry|12v1|SRR353282X12628D1_P1 7183 672 91.3 globlastp 3631 cassava|09v1|DV451280_P1 7184 672 91.3 globlastp 3632 chestnut|gb170|SRR006295S0028173_P1 7182 672 91.3 globlastp 3633 euonymus|11v1|SRR070038X515004_P1 7185 672 91.3 globlastp 3634 grape|11v1|GSVIVT01020782001_P1 7186 672 91.3 globlastp 3635 grape|11v1|VVCRP029347_P1 7186 672 91.3 globlastp 3636 oak|10v1|FP037758_P1 7182 672 91.3 globlastp 3637 pigeonpea|11v1|GW359427_P1 7187 672 91.3 globlastp 3638 poplar|10v1|AI161645 7188 672 91.3 globlastp 3639 poplar|13v1|AI161645_P1 7188 672 91.3 globlastp 3640 poplar|10v1|AI163089 7188 672 91.3 globlastp 3641 poplar|13v1|AI163778_P1 7188 672 91.3 globlastp 3642 sarracenia|11v1|SRR192669.105170 7189 672 91.3 glotblastn 3643 soybean|11v1|GLYMA05G32260 7190 672 91.3 globlastp 3644 soybean|12v1|GLYMA05G32260_P1 7190 672 91.3 globlastp 3645 soybean|11v1|GLYMA16G09890 7191 672 91.3 globlastp 3646 soybean|12v1|GLYMA16G09890_P1 7191 672 91.3 globlastp 3647 bean|12v2|CA902328_P1 7192 672 90.6 globlastp 3648 bean|12v1|CA902328 7192 672 90.6 globlastp 3649 cassava|09v1|TMPLEG659528T1_P1 7193 672 90.6 globlastp 3650 castorbean|12v1|EG659528_P1 7194 672 90.6 globlastp 3651 clementine|11v1|CF835589_P1 7195 672 90.6 globlastp 3651 orange|11v1|CK935472_P1 7195 672 90.6 globlastp 3652 coffea|10v1|DV665605_P1 7196 672 90.6 globlastp 3653 cowpea|12v1|FF390716_P1 7192 672 90.6 globlastp 3654 cyamopsis|10v1|EG975056_P1 7197 672 90.6 globlastp 3655 liquorice|gb171|FS258113_P1 7192 672 90.6 globlastp 3656 lotus|09v1|GO019310_P1 7198 672 90.6 globlastp 3657 soybean|11v1|GLYMA03G22220 7199 672 90.6 globlastp 3658 soybean|12v1|GLYMA03G22220_P1 7199 672 90.6 globlastp 3659 trigonella|11v1|SRR066194X126359 7198 672 90.6 globlastp 3660 chickpea|13v2|GR913036_P1 7200 672 89.9 globlastp 3661 chickpea|13v2|SRR133517.234652_P1 7200 672 89.9 globlastp 3662 bruguiera|gb166|BP950443_P1 7201 672 89.9 globlastp 3663 chickpea|11v1|GR913036 7200 672 89.9 globlastp 3664 cotton|11v1|AI730065_P1 7202 672 89.9 globlastp 3665 cotton|11v1|BQ410573_P1 7202 672 89.9 globlastp 3666 cucurbita|11v1|SRR091276X110065_P1 7203 672 89.9 globlastp 3667 cucurbita|11v1|SRR091276X231682_P1 7203 672 89.9 globlastp 3668 fraxinus|11v1|SRR058827.107668_P1 7204 672 89.9 globlastp 3669 gossypium_raimondii|12v1|AI730065_P1 7202 672 89.9 globlastp 3670 gossypium_raimondii|12v1|BQ410573_P1 7202 672 89.9 globlastp 3671 heritiera|10v1|SRR005795S0002072_P1 7202 672 89.9 globlastp 3672 hornbeam|12v1|SRR364455.105030_P1 7205 672 89.9 globlastp 3673 medicago|12v1|AW287968_P1 7206 672 89.9 globlastp 3674 momordica|10v1|SRR071315S0006698_P1 7207 672 89.9 globlastp 3675 olea|11v1|SRR014463.16031 7204 672 89.9 globlastp 3676 olea|13v1|SRR014463X16031D1_P1 7204 672 89.9 globlastp 3677 peanut|10v1|CD038051_P1 7208 672 89.9 globlastp 3678 petunia|gb171|CV298055_P1 7209 672 89.9 globlastp 3679 phyla|11v2|SRR099037X109250_P1 7210 672 89.9 globlastp 3680 sunflower|12v1|EE651559 7211 672 89.9 globlastp 3681 walnuts|gb166|CV195160 7212 672 89.9 globlastp 3682 rhizophora|10v1|SRR005792S0002572 7213 672 89.86 glotblastn 3683 cacao|10v1|CU480658_P1 7214 672 89.1 globlastp 3684 catharanthus|11v1|EG561727_P1 7215 672 89.1 globlastp 3685 cichorium|gb171|EH699665_P1 7216 672 89.1 globlastp 3686 cucurbita|11v1|SRR091276X11558_P1 7217 672 89.1 globlastp 3687 euonymus|11v1|SRR070038X443151_P1 7218 672 89.1 globlastp 3688 euphorbia|11v1|DV116081_P1 7219 672 89.1 globlastp 3689 flaveria|11v1|SRR149229.149165XX2_P1 7220 672 89.1 globlastp 3690 flaveria|11v1|SRR149232.124563_P1 7220 672 89.1 globlastp 3691 flaveria|11v1|SRR149232.141798_P1 7220 672 89.1 globlastp 3692 guizotia|10v1|GE563099_P1 7221 672 89.1 globlastp 3693 nasturtium|11v1|SRR032558.175411_P1 7222 672 89.1 globlastp 3694 spurge|gb161|DV116081 7219 672 89.1 globlastp 3695 sunflower|12v1|AJ318322 7223 672 89.1 globlastp 3696 sunflower|12v1|CF087693 7223 672 89.1 globlastp 3697 watermelon|11v1|AM714594 7224 672 89.1 globlastp 3698 aquilegia|10v2|JGIAC003626_P1 7225 672 88.5 globlastp 3699 ambrosia|11v1|SRR346943.116345_P1 7226 672 88.4 globlastp 3700 ambrosia|11v1|SRR346943.135917_P1 7226 672 88.4 globlastp 3701 blueberry|12v1|CV190540_P1 7227 672 88.4 globlastp 3702 blueberry|12v1|SRR353282X5502D1_P1 7227 672 88.4 globlastp 3703 cucumber|09v1|AM714594_P1 7228 672 88.4 globlastp 3704 lettuce|12v1|DW050615_P1 7229 672 88.4 globlastp 3705 melon|10v1|AM714594_P1 7228 672 88.4 globlastp 3706 nuphar|gb166|CK760631_P1 7230 672 88.4 globlastp 3707 sunflower|12v1|CD847025 7231 672 88.4 globlastp 3708 sunflower|12v1|DY935727 7232 672 88.4 globlastp 3709 tragopogon|10v1|SRR020205S0012851 7233 672 88.4 globlastp 3710 watermelon|11v1|VMEL08104207201030 7234 672 88.4 globlastp 3711 valeriana|11v1|SRR099039X129790 7235 672 87.9 globlastp 3712 flax|11v1|JG083843_P1 7236 672 87.7 globlastp 3713 antirrhinum|gb166|AJ788528_T1 7237 672 87.68 glotblastn 3714 amborella|12v3|SRR038635.101448_P1 7238 672 87.1 globlastp 3715 dandelion|10v1|DR402437_P1 7239 672 87.1 globlastp 3716 apple|11v1|CN445348_P1 7240 672 87 globlastp 3717 artemisia|10v1|EF549581_P1 7241 672 87 globlastp 3718 cleome_gynandra|10v1|SRR015532S0004149_P1 7242 672 87 globlastp 3719 cleome_spinosa|10v1|SRR015531S0006728_P1 7243 672 87 globlastp 3720 euphorbia|11v1|SRR098678X163100_P1 7244 672 87 globlastp 3721 flax|11v1|JG023417_P1 7245 672 87 globlastp 3722 oil_palm|11v1|EL683706_P1 7246 672 87 globlastp 3723 prunus|10v1|BU043746 7247 672 87 globlastp 3724 rose|12v1|BI978180 7248 672 87 globlastp 3725 rose|12v1|EC588741 7248 672 87 globlastp 3726 chelidonium|11v1|SRR084752X170599_T1 7249 672 86.96 glotblastn 3727 primula|11v1|SRR098679X102937_T1 7250 672 86.96 glotblastn 3728 banana|12v1|BBS2839T3_P1 7251 672 86.2 globlastp 3729 eschscholzia|11v1|CK748022_P1 7252 672 86.2 globlastp 3730 monkeyflower|10v1|CV518516 7253 672 86.2 globlastp 3731 monkeyflower|12v1|CV518516_P1 7253 672 86.2 globlastp 3732 centaurea|11v1|EH738332_P1 7254 672 85.7 globlastp 3733 centaurea|11v1|EH752889_P1 7254 672 85.7 globlastp 3734 centaurea|gb166|EH738332 7254 672 85.7 globlastp 3735 cirsium|11v1|SRR346952.1024531_P1 7254 672 85.7 globlastp 3736 olea|13v1|SRR014463X44251D1_T1 7255 672 85.61 glotblastn 3737 aristolochia|10v1|FD750215_P1 7256 672 85.5 globlastp 3738 bupleurum|11v1|SRR301254.123037_P1 7257 672 85.5 globlastp 3739 cucumber|09v1|BGI454H0182627_P1 7258 672 85.5 globlastp 3740 fagopyrum|11v1|SRR063689X101809_P1 7259 672 85.5 globlastp 3741 fagopyrum|11v1|SRR063689X103813_P1 7259 672 85.5 globlastp 3742 utricularia|11v1|SRR094438.101455 7260 672 85.5 globlastp 3743 senecio|gb170|DY659690 7261 672 85.1 globlastp 3744 centaurea|11v1|EH780576_P1 7262 672 85 globlastp 3745 arabidopsis_lyrata|09v1|JGIAL020672_P1 7263 672 84.8 globlastp 3746 arabidopsis|10v1|AT5G09920_P1 7264 672 84.8 globlastp 3747 fagopyrum|11v1|SRR063703X131004_P1 7265 672 84.8 globlastp 3748 sesame|12v1|SESI12V1356715 7266 672 84.8 globlastp 3749 euphorbia|11v1|BP960506_P1 7267 672 84.2 globlastp 3750 b_rapa|11v1|CN730236_P1 7268 672 84.1 globlastp 3751 b_rapa|11v1|H07557_P1 7268 672 84.1 globlastp 3752 canola|11v1|CN730236_P1 7268 672 84.1 globlastp 3753 canola|11v1|EE459982_P1 7268 672 84.1 globlastp 3754 canola|11v1|EV041760_P1 7268 672 84.1 globlastp 3755 canola|11v1|H07557_P1 7268 672 84.1 globlastp 3756 humulus|11v1|SRR098683X106032_P1 7269 672 84.1 globlastp 3757 radish|gb164|EV544637 7268 672 84.1 globlastp 3758 thellungiella_parvulum|11v1|DN774731 7270 672 84.1 globlastp 3759 cynara|gb167|GE586010_P1 7271 672 83.6 globlastp 3760 radish|gb164|EW716919 7272 672 83.5 globlastp 3761 radish|gb164|EX763962 7272 672 83.5 globlastp 3762 curcuma|10v1|DY383869_T1 7273 672 83.33 glotblastn 3763 aristolochia|10v1|SRR039082S0316312_P1 7274 672 83.3 globlastp 3764 b_juncea|12v1|E6ANDIZ01B54CY_P1 7275 672 83.3 globlastp 3765 b_juncea|12v1|E6ANDIZ01CNNVD_P1 7276 672 83.3 globlastp 3766 boleracea|gb161|AM057678_P1 7276 672 83.3 globlastp 3767 canola|11v1|CN828755_P1 7277 672 83.3 globlastp 3768 phalaenopsis|11v1|SRR125771.1055688_P1 7278 672 83.3 globlastp 3769 salvia|10v1|CV165847 7279 672 83.3 globlastp 3770 strawberry|11v1|CO379850 7280 672 83.3 globlastp 3771 safflower|gb162|EL387455 7281 672 82.9 globlastp 3772 canola|11v1|EG019489_P1 7282 672 82.7 globlastp 3773 b_rapa|11v1|CD811778_P1 7283 672 82.1 globlastp 3774 canola|11v1|ES959288_P1 7283 672 82.1 globlastp 3775 canola|11v1|FG570031_P1 7284 672 81.9 globlastp 3776 fraxinus|11v1|SRR058827.104121_P1 7285 672 81.9 globlastp 3777 thellungiella_halophilum|11v1|DN774731 7286 672 81.9 globlastp 3778 phyla|11v2|SRR099035X34009_T1 7287 672 81.88 glotblastn 3779 fagopyrum|11v1|SRR063689X155135_T1 — 672 81.88 glotblastn 3780 cirsium|11v1|SRR346952.454216_P1 7288 672 81.4 globlastp 3781 catharanthus|11v1|SRR098691X345081_T1 7289 672 80.43 glotblastn 3782 cycas|gb166|EX920938_T1 7290 672 80.43 glotblastn 3783 nicotiana_benthamiana|12v1|AJ718885_P1 7291 672 80.4 globlastp 3784 potato|10v1|BG350925_P1 7292 673 97.9 globlastp 3785 solanum_phureja|09v1|SPHBG630567 7292 673 97.9 globlastp 3786 nicotiana_benthamiana|12v1|AF153277_P1 7293 673 95.8 globlastp 3787 nicotiana_benthamiana|12v1|EH367819_P1 7293 673 95.8 globlastp 3788 tobacco|gb162|AF153277 7293 673 95.8 globlastp 3789 pepper|12v1|BM064474_P1 7294 673 95.1 globlastp 3790 eggplant|10v1|FS029867_P1 7295 673 93.8 globlastp 3791 tobacco|gb162|AM784837 7296 673 88.9 globlastp 3792 monkeyflower|10v1|DV210285 7297 673 87.5 globlastp 3793 monkeyflower|12v1|DV210285_P1 7297 673 87.5 globlastp 3794 orobanche|10v1|SRR023189S0013058_P1 7298 673 87.5 globlastp 3795 petunia|gb171|CV295124_P1 7299 673 87.5 globlastp 3796 orobanche|10v1|SRR023189S0021390_P1 7300 673 86.8 globlastp 3797 triphysaria|10v1|BM357267 7301 673 86.8 globlastp 3798 olea|13v1|SRR014464X38751D1_P1 7302 673 86.1 globlastp 3799 catharanthus|11v1|SRR098691X105656_P1 7303 673 86.1 globlastp 3800 fraxinus|11v1|SRR058827.108943_P1 7304 673 86.1 globlastp 3801 fraxinus|11v1|SRR058827.112759XX1_P1 7305 673 86.1 globlastp 3802 olea|11v1|SRR014463.10448 7306 673 86.1 globlastp 3803 olea|13v1|SRR014463X10448D1_P1 7307 673 86.1 globlastp 3804 phyla|11v2|SRR099035X151618_P1 7308 673 86.1 globlastp 3805 sesame|12v1|JK050928 7309 673 86.1 globlastp 3806 phyla|11v2|SRR099037X276914_T1 7310 673 85.42 glotblastn 3807 sesame|12v1|SESI12V1356115 7311 673 85.4 globlastp 3808 triphysaria|10v1|EX997442 7312 673 85.4 globlastp 3809 blueberry|12v1|CV191473_P1 7313 673 84.8 globlastp 3810 blueberry|12v1|SRR353282X102149D1_P1 7313 673 84.8 globlastp 3811 blueberry|12v1|SRR353282X17149D1_P1 7314 673 84.8 globlastp 3812 blueberry|12v1|SRR353282X66118D1_P1 7314 673 84.8 globlastp 3813 platanus|11v1|SRR096786X104548_P1 7315 673 84.8 globlastp 3814 platanus|11v1|SRR096786X127843_P1 7316 673 84.8 globlastp 3815 nicotiana_benthamiana|12v1|FG637079_T1 7317 673 84.72 glotblastn 3816 cucurbita|11v1|SRR091276X10598_P1 7318 673 84.2 globlastp 3817 phalaenopsis|11v1|CB034306_P1 7319 673 84.2 globlastp 3818 sarracenia|11v1|SRR192669.141782 7320 673 84.2 globlastp 3819 watermelon|11v1|VMEL00232223443500 7321 673 84.2 globlastp 3820 fraxinus|11v1|SRR058827.115881_T1 7322 673 84.03 glotblastn 3821 coffea|10v1|DV672264_P1 7323 673 84 globlastp 3822 phyla|11v2|SRR099037X112957_P1 7324 673 84 globlastp 3823 vinca|11v1|SRR098690X103362 7325 673 84 globlastp 3824 vinca|11v1|SRR098690X197340 7326 673 84 globlastp 3825 melon|10v1|DV634597_P1 7327 673 83.6 globlastp 3826 momordica|10v1|SRR071315S0002594_P1 7328 673 83.6 globlastp 3827 pigeonpea|11v1|SRR054580X113200_P1 7329 673 83.6 globlastp 3828 ambrosia|11v1|SRR346935.1550_P1 7330 673 83.4 globlastp 3829 blueberry|12v1|SRR353282X101052D1_P1 7331 673 83.4 globlastp 3830 chelidonium|11v1|SRR084752X106486_P1 7332 673 83.4 globlastp 3831 onion|12v1|SRR073446X111946D1_P1 7333 673 83.4 globlastp 3832 onion|12v1|SRR073446X346775D1_P1 7333 673 83.4 globlastp 3833 parthenium|10v1|GW777925_P1 7330 673 83.4 globlastp 3834 apple|11v1|CN994802_P1 7334 673 83.1 globlastp 3835 oil_palm|11v1|EY404310_P1 7335 673 83 globlastp 3836 bruguiera|gb166|BP942698_P1 7336 673 82.9 globlastp 3837 euphorbia|11v1|BP955493_P1 7337 673 82.9 globlastp 3838 flaveria|11v1|SRR149229.101882_P1 7338 673 82.9 globlastp 3839 flaveria|11v1|SRR149232.120155_P1 7339 673 82.9 globlastp 3840 oil_palm|11v1|SRR190698.121788_P1 7340 673 82.9 globlastp 3841 sunflower|12v1|CD847151 7341 673 82.9 globlastp 3842 sunflower|12v1|CF077747 7341 673 82.9 globlastp 3843 watermelon|11v1|DV634597 7342 673 82.9 globlastp 3844 kiwi|gb166|FG402684_P1 7343 673 82.8 globlastp 3845 sunflower|12v1|AJ828557 7344 673 82.8 globlastp 3846 sunflower|12v1|EE650599 7345 673 82.8 globlastp 3847 fraxinus|11v1|SRR058827.129416_P1 7346 673 82.6 globlastp 3848 lettuce|12v1|DW045150_P1 7347 673 82.3 globlastp 3849 artemisia|10v1|EY046558_P1 7348 673 82.2 globlastp 3850 banana|12v1|FF560328_P1 7349 673 82.2 globlastp 3851 cassava|09v1|DV445147_P1 7350 673 82.2 globlastp 3852 cucurbita|11v1|SRR091276X115032_P1 7351 673 82.2 globlastp 3853 euphorbia|11v1|DV113111_P1 7352 673 82.2 globlastp 3853 spurge|gb161|DV113111 7352 673 82.2 globlastp 3854 poplar|10v1|AI162987 7353 673 82.2 globlastp 3855 poplar|13v1|AI162987_P1 7353 673 82.2 globlastp 3856 sunflower|12v1|EE653266 7354 673 82.2 globlastp 3857 sarracenia|11v1|SRR192669.100134 7355 673 82.19 glotblastn 3858 peach|gb157.2|DY639276_P1 7356 673 82.1 globlastp 3859 prunus|10v1|CN994802 7356 673 82.1 globlastp 3860 strawberry|11v1|EX658203 7357 673 82.1 globlastp 3861 amsonia|11v1|SRR098688X106478_P1 7358 673 81.9 globlastp 3862 antirrhinum|gb166|AJ790220_P1 7359 673 81.9 globlastp 3863 ipomoea_nil|10v1|CJ745389_P1 7360 673 81.9 globlastp 3864 cichorium|gb171|EH701034_P1 7361 673 81.6 globlastp 3865 guizotia|10v1|GE561736_T1 7362 673 81.51 glotblastn 3866 ambrosia|11v1|SRR346943.108668_P1 7363 673 81.5 globlastp 3867 ambrosia|11v1|SRR346947.123392_P1 7364 673 81.5 globlastp 3868 banana|12v1|FF558025_P1 7365 673 81.5 globlastp 3869 cucumber|09v1|DV634597_P1 7366 673 81.5 globlastp 3870 flaveria|11v1|SRR149229.46654_P1 7367 673 81.5 globlastp 3871 aristolochia|10v1|SRR039082S0013912_P1 7368 673 81.4 globlastp 3872 eucalyptus|11v2|CD669833_P1 7369 673 81.4 globlastp 3873 grape|11v1|GSVIVT01010613001_P1 7370 673 81.4 globlastp 3874 oak|10v1|FP027819_P1 7371 673 81.4 globlastp 3875 onion|12v1|SRR073446X118851D1_P1 7372 673 81.4 globlastp 3876 rose|12v1|SRR397984.109724 7373 673 81.4 globlastp 3877 ginger|gb164|DY349157_T1 7374 673 81.38 glotblastn 3878 gerbera|09v1|AJ754249_P1 7375 673 81.2 globlastp 3879 primula|11v1|SRR098679X104604_P1 7376 673 81.2 globlastp 3880 cassava|09v1|CK645566_P1 7377 673 80.8 globlastp 3881 euonymus|11v1|SRR070038X136396_P1 7378 673 80.8 globlastp 3882 euonymus|11v1|SRR070038X141580_P1 7379 673 80.8 globlastp 3883 flaveria|11v1|SRR149241.115333_P1 7380 673 80.8 globlastp 3884 pigeonpea|11v1|SRR054580X106914_P1 7381 673 80.8 globlastp 3885 poplar|10v1|CK117372 7382 673 80.8 globlastp 3886 poplar|13v1|CK117372_P1 7382 673 80.8 globlastp 3887 tripterygium|11v1|SRR098677X118682 7383 673 80.8 globlastp 3888 cirsium|11v1|SRR346952.116865_P1 7384 673 80.7 globlastp 3889 eschscholzia|11v1|SRR014116.117187_P1 7385 673 80.7 globlastp 3890 humulus|11v1|ES653528_P1 7386 673 80.7 globlastp 3891 onion|12v1|SRR073446X11066D1_P1 7387 673 80.7 globlastp 3892 beech|11v1|SRR006293.23858_T1 7388 673 80.69 glotblastn 3893 cirsium|11v1|SRR346952.1090555_P1 7389 673 80.3 globlastp 3894 cynara|gb167|GE586553_P1 7390 673 80.3 globlastp 3895 cynara|gb167|GE591412_P1 7391 673 80.3 globlastp 3896 medicago|12v1|BE315728_P1 7392 673 80.3 globlastp 3897 trigonella|11v1|SRR066194X152657 7393 673 80.3 globlastp 3898 avocado|10v1|FD508333_T1 7394 673 80.27 glotblastn 3899 clementine|11v1|CF417220_P1 7395 673 80.1 globlastp 3900 euonymus|11v1|SRR070038X134316_P1 7396 673 80.1 globlastp 3901 euonymus|11v1|SRR070038X175696_P1 7397 673 80.1 globlastp 3902 foxtail_millet|11v3|PHY7SI037339M_P1 7398 673 80.1 globlastp 3903 hornbeam|12v1|SRR364455.10539_P1 7399 673 80.1 globlastp 3904 orange|11v1|CF417220_P1 7395 673 80.1 globlastp 3905 rice|11v1|BI800003 7400 673 80.1 globlastp 3906 walnuts|gb166|EL892024 7401 673 80.1 globlastp 3907 prunus_mume|13v1|DY639276_P1 7402 673 80 globlastp 3908 acacia|10v1|GR481215_P1 7403 673 80 globlastp 3909 amorphophallus|11v2|SRR089351X121955_P1 7404 673 80 globlastp 3910 aquilegia|10v2|JGIAC024478_T1 7405 673 80 glotblastn 3911 chestnut|gb170|SRR006295S0000818_P1 7406 673 80 globlastp 3912 eschscholzia|11v1|SRR014116.113832_P1 7407 673 80 globlastp 3913 nasturtium|11v1|GH169570_P1 7408 673 80 globlastp 3914 oak|10v1|DB997979_P1 7409 673 80 globlastp 3915 solanum_phureja|09v1|SPHAW034456 7410 674 96.6 globlastp 3916 potato|10v1|CK245349_P1 7411 674 94.9 globlastp 3917 eggplant|10v1|FS007122_P1 7412 674 88.7 globlastp 3918 nicotiana_benthamiana|12v1|BP745922_P1 7413 674 88.1 globlastp 3919 nicotiana_benthamiana|12v1|EH369150_P1 7414 674 87.6 globlastp 3920 pepper|12v1|GD060497_T1 7415 674 87.01 glotblastn 3921 potato|10v1|BQ514168_P1 7416 675 98.1 globlastp 3922 solanum_phureja|09v1|SPHAW617278 7417 675 97.2 globlastp 3923 pepper|12v1|GD080968_P1 7418 675 89.3 globlastp 3924 nicotiana_benthamiana|12v1|EB429811_P1 7419 675 87.1 globlastp 3925 tobacco|gb162|EB429811 7420 675 85.19 glotblastn 3926 potato|10v1|CV491855_P1 7421 676 92.5 globlastp 3927 solanum_phureia|09v1|SPHBG136313 7422 676 92.5 globlastp 3928 eggplant|10v1|FS056643_P1 7423 676 90 globlastp 3929 pepper|12v1|GD064989_P1 7424 676 90 globlastp 3930 tobacco|gb162|DW004195 7425 676 89.6 globlastp 3931 nicotiana_benthamiana|12v1|FG642673_P1 7426 676 89.1 globlastp 3932 nicotiana_benthamiana|12v1|DV999162_P1 7427 676 88.1 globlastp 3933 potato|10v1|BG596489_P1 7428 677 98.8 globlastp 3934 solanum_phureia|09v1|SPHBG734868 7429 677 98.8 globlastp 3935 eggplant|10v1|FS016659_P1 7430 677 96.4 globlastp 3936 tobacco|gb162|CV020268 7431 677 96.4 globlastp 3937 nicotiana_benthamiana|12v1|CK990177_P1 7432 677 95.2 globlastp 3938 pepper|12v1|CA515174_P1 7433 677 94.1 globlastp 3939 petunia|gb171|CV299571_P1 7434 677 94 globlastp 3940 coffea|10v1|DV692487_P1 7435 677 89.4 globlastp 3941 olea|13v1|SRR014464X31367D1_P1 7436 677 89.3 globlastp 3942 ipomoea_batatas|10v1|BU691677_P1 7437 677 89.3 globlastp 3943 fraxinus|11v1|SRR058827.107993_P1 7438 677 88.1 globlastp 3944 fraxinus|11v1|SRR058827.190612_P1 7438 677 88.1 globlastp 3945 ipomoea_nil|10v1|BJ553531_P1 7439 677 88.1 globlastp 3946 olea|11v1|SRR014463.11310 7438 677 88.1 globlastp 3947 olea|13v1|SRR014463X11310D1_P1 7438 677 88.1 globlastp 3948 lettuce|12v1|DW066365_P1 7440 677 87.1 globlastp 3949 amsonia|11v1|SRR098688X117039_P1 7441 677 86.9 globlastp 3950 catharanthus|11v1|SRR098691X137558_P1 7442 677 86.9 globlastp 3951 centaurea|gb166|EH711371 7443 677 86.9 globlastp 3952 centaurea|11v1|EH711371_T1 7444 677 86.9 glotblastn 3953 centaurea|gb166|EH740490 7443 677 86.9 globlastp 3954 cirsium|11v1|SRR346952.1000422T1 7445 677 86.9 glotblastn 3955 cirsium|11v1|SRR346952.106666_P1 7443 677 86.9 globlastp 3956 safflower|gb162|EL407633 7446 677 86.9 globlastp 3957 sunflower|12v1|CD850724 7443 677 86.9 globlastp 3958 tabernaemontana|11v1|SRR098689X105890 7447 677 86.9 globlastp 3959 sunflower|12v1|CD849196 7448 677 86 globlastp 3960 dandelion|10v1|DR399089_P1 7449 677 85.9 globlastp 3961 artemisia|10v1|GW329794_T1 7450 677 85.88 glotblastn 3962 fraxinus|11v1|SRR058827.105367_T1 7451 677 85.71 glotblastn 3963 ipomoea_batatas|10v1|DV036634_T1 7452 677 85.71 glotblastn 3964 arabidopsis_lyrata|09v1|JGIAL016191_P1 7453 677 85.7 globlastp 3965 aristolochia|10v1|SRR039083S0162197_P1 7454 677 85.7 globlastp 3966 flaveria|11v1|SRR149244.111421_P1 7455 677 85.7 globlastp 3967 guizotia|10v1|GE571049_P1 7456 677 85.7 globlastp 3968 phyla|11v2|SRR099035X10210_P1 7457 677 85.7 globlastp 3969 phyla|11v2|SRR099037X107040_P1 7458 677 85.7 globlastp 3970 platanus|11v1|SRR096786X107756_P1 7459 677 84.7 globlastp 3971 platanus|11v1|SRR096786X116200_P1 7460 677 84.7 globlastp 3972 b_oleracea|gb161|AM394278_T1 7461 677 84.52 glotblastn 3973 cacao|10v1|CA794604_T1 7462 677 84.52 glotblastn 3974 ambrosia|11v1|SRR346943.10506_P1 7463 677 84.5 globlastp 3975 b_juncea|12v1|E6ANDIZ01A7LR6_P1 7464 677 84.5 globlastp 3976 blueberry|12v1|SRR353282X27890D1_P1 7465 677 84.5 globlastp 3977 flaveria|11v1|SRR149229.103468_P1 7466 677 84.5 globlastp 3978 monkeyflower|10v1|GO964950 7467 677 84.5 globlastp 3979 monkeyflower|12v1|GO997762_P1 7467 677 84.5 globlastp 3980 soybean|11v1|GLYMA03G37250 7468 677 84.5 globlastp 3981 soybean|12v1|GLYMA03G37250_P1 7468 677 84.5 globlastp 3982 thellungiella_halophilum|11v1|EHJGI11009624 7469 677 84.5 globlastp 3983 thellungiella_parvulum|11v1|EPCRP016283 7470 677 84.5 globlastp 3984 beech|11v1|SRR364434.196077_P1 7471 677 83.5 globlastp 3985 chickpea|11v1|SRR133517.102541 7472 677 83.5 globlastp 3986 chickpea|13v2|SRR133517.102541_P1 7472 677 83.5 globlastp 3987 eucalyptus|11v2|SRR001659X130769_P1 7473 677 83.5 globlastp 3988 tea|10v1|EU375562 7474 677 83.5 globlastp 3989 castorbean|12v1|EE256065_T1 7475 677 83.33 glotblastn 3990 antirrhinum|gb166|AJ790795_P1 7476 677 83.3 globlastp 3991 arabidopsis_lyrata|09v1|TMPLAT3G62790T1_P1 7477 677 83.3 globlastp 3992 arabidopsis|10v1|AT2G47690_P1 7478 677 83.3 globlastp 3993 arabidopsis|10v1|AT3G62790_P1 7477 677 83.3 globlastp 3994 b_oleracea|gb161|EE534469_P1 7479 677 83.3 globlastp 3995 chestnut|gb170|SRR006295S0013415_P1 7480 677 83.3 globlastp 3996 hornbeam|12v1|SRR364455.108791P1 7481 677 83.3 globlastp 3997 orobanche|10v1|SRR023189S0000882_P1 7482 677 83.3 globlastp 3998 salvia|10v1|SRR014553S0001603 7483 677 83.3 globlastp 3999 sesame|12v1|SESI12Vl183062 7484 677 83.3 globlastp 4000 thellungiella_halophilum|11v1|BY806974 7485 677 83.3 globlastp 4001 ginseng|10v1|GR872098_P1 7486 677 82.8 globlastp 4002 poplar|10v1|BU814197 7487 677 82.6 globlastp 4003 poplar|13v1|BU814197_P1 7487 677 82.6 globlastp 4004 castorbean|12v1|SRR020785.12360_P1 7488 677 82.4 globlastp 4005 oil_palm|11v1|EL687328_P1 7489 677 82.4 globlastp 4006 sarracenia|11v1|SRR192669.113844 7490 677 82.4 globlastp 4007 bean|12v2|CA899125_P1 7491 677 82.1 globlastp 4008 aquilegia|10v2|JGIAC017903_P1 7492 677 82.1 globlastp 4009 arabidopsis_lyrata|09v1|JGIAL019629_P1 7493 677 82.1 globlastp 4010 b_rapa|11v1|CD813402_P1 7494 677 82.1 globlastp 4011 bean|12v1|CA899125 7491 677 82.1 globlastp 4012 cleome_gynandra|10v1|SRR015532S0037183_P1 7495 677 82.1 globlastp 4013 cleome_spinosa|10v1|GR933599_P1 7496 677 82.1 globlastp 4014 cowpea|12v1|FF391544_P1 7497 677 82.1 globlastp 4015 epimedium|11v1|SRR013502.18250_P1 7498 677 82.1 globlastp 4016 euonymus|11v1|SRR070038X129578_P1 7499 677 82.1 globlastp 4017 flaveria|11v1|SRR149241.351805_P1 7500 677 82.1 globlastp 4018 liquorice|gb171|FS244458_P1 7501 677 82.1 globlastp 4019 medicago|12v1|AL380702_P1 7502 677 82.1 globlastp 4020 monkeyflower|10v1|DV212834 7503 677 82.1 globlastp 4021 monkeyflower|12v1|DV212834_P1 7503 677 82.1 globlastp 4022 oak|10v1|DN950929_P1 7504 677 82.1 globlastp 4023 primula|11v1|SRR098681X50499_P1 7505 677 82.1 globlastp 4024 radish|gb164|EV525126 7506 677 82.1 globlastp 4025 soybean|11v1|GLYMA19G39860 7507 677 82.1 globlastp 4026 soybean|12v1|GLYMA19G39860_P1 7507 677 82.1 globlastp 4027 thellungiella_parvulum|11v1|BY806974 7494 677 82.1 globlastp 4028 triphysaria|10v1|EY139435 7508 677 82.1 globlastp 4029 triphysaria|10v1|SRR023500S0005824 7509 677 82.1 globlastp 4030 humulus|11v1|ES653674_P1 7510 677 81.6 globlastp 4031 utricularia|11v1|SRR094438.10063 7511 677 81.4 globlastp 4032 amorphophallus|11v2|SRR089351X126092_P1 7512 677 81.2 globlastp 4033 cassava|09v1|JGICASSAVA1175VALIDM1_P1 7513 677 81.2 globlastp 4034 cotton|11v1|AI726094_P1 7514 677 81.2 globlastp 4035 gossypium_raimondii|12v1|AI726094_P1 7514 677 81.2 globlastp 4036 heritiera|10v1|SRR005795S0009085_P1 7515 677 81.2 globlastp 4037 pigeonpea|11v1|GW355058_P1 7516 677 81.2 globlastp 4038 rose|12v1|EC587736 7517 677 81.2 globlastp 4039 fraxinus|11v1|SRR058827.108012_T1 7518 677 81.18 glotblastn 4040 acacia|10v1|GR482262_P1 7519 677 81 globlastp 4041 b_juncea|12v1|E6ANDIZ01C6DZO_P1 7520 677 81 globlastp 4042 canola|11v1|CN732165_P1 7521 677 81 globlastp 4043 lotus|09v1|BF177508_P1 7522 677 81 globlastp 4044 poppy|11v1|SRR030259.116296_P1 7523 677 81 globlastp 4045 radish|gb164|EV538661 7524 677 81 globlastp 4046 radish|gb164|EV543647 7525 677 81 globlastp 4047 radish|gb164|EW723879 7526 677 81 globlastp 4048 trigonella|11v1|SRR066194X114302 7527 677 81 globlastp 4049 b_rapa|11v1|CD816662_T1 7528 677 80.95 glotblastn 4050 b_rapa|11v1|CD817758_T1 7529 677 80.95 glotblastn 4051 canola|11v1|DW999649XX2_T1 7530 677 80.95 glotblastn 4052 cotton|11v1|BF274690_T1 7531 677 80.95 glotblastn 4053 gossypium_raimondii|12v1|BF274690_T1 7532 677 80.95 glotblastn 4054 grape|11v1|GSVIVT01035146001_P1 7533 677 80.5 globlastp 4055 liquorice|gb171|FS239994_P1 7534 677 80.5 globlastp 4056 apple|11v1|CN491129_P1 7535 677 80.2 globlastp 4057 peach|gb157.2|AJ827105_T1 7536 677 80 glotblastn 4058 prunus_mume|13v1|SRR345674.52578_T1 7536 677 80 glotblastn 4059 b_juncea|12v1|E6ANDIZ01B371N_P1 7537 677 80 globlastp 4060 cassava|09v1|DB924993_P1 7538 677 80 globlastp 4061 chelidonium|11v1|SRR084752X13675_P1 7539 677 80 globlastp 4062 cotton|11v1|BE053626_P1 7540 677 80 globlastp 4063 cotton|11v1|SRR032367.1014115_P1 7540 677 80 globlastp 4064 gossypium_raimondii|12v1|BE053626_P1 7540 677 80 globlastp 4065 prunus|10v1|CN491129 7536 677 80 glotblastn 4066 strawberry|11v1|DV439027 7541 677 80 globlastp 4067 wheat|12v3|BE415081 7542 678 85.41 glotblastn 4068 rye|12v1|BE636808 7543 678 85.3 globlastp 4069 rye|12v1|DRR001012.266258 7544 678 85.3 globlastp 4070 rye|12v1|DRR001012.1483 7545 678 81.59 glotblastn 4071 barley|12v1|BE420812_P1 7546 679 98.5 globlastp 4072 barley|12v1|BI950339_P1 7546 679 98.5 globlastp 4073 leymus|gb166|CD809189_P1 7546 679 98.5 globlastp 4074 rye|12v1|BE636868 7547 679 98.5 globlastp 4075 rye|12v1|DRR001012.100149 7547 679 98.5 globlastp 4076 rye|12v1|DRR001012.101034 7547 679 98.5 globlastp 4077 rye|12v1|DRR001012.107227 7547 679 98.5 globlastp 4078 rye|12v1|DRR001012.110963 7547 679 98.5 globlastp 4079 rye|12v1|DRR001012.149209 7547 679 98.5 globlastp 4080 rye|12v1|DRR001012.155634 7547 679 98.5 globlastp 4081 rye|12v1|DRR001012.173348 7547 679 98.5 globlastp 4082 wheat|12v3|BE213361 7547 679 98.5 globlastp 4083 wheat|12v3|BE213541 7547 679 98.5 globlastp 4084 wheat|12v3|BE217061 7547 679 98.5 globlastp 4085 wheat|12v3|BE412383 7547 679 98.5 globlastp 4086 wheat|12v3|BE417966 7547 679 98.5 globlastp 4087 wheat|12v3|BE418325 7547 679 98.5 globlastp 4088 wheat|12v3|BE425441 7547 679 98.5 globlastp 4089 wheat|12v3|BE604046 7548 679 98.5 globlastp 4090 wheat|12v3|BF478899 7547 679 98.5 globlastp 4091 leymus|gb166|EG391011_P1 7549 679 98.1 globlastp 4092 lolium|10v1|AU246390_P1 7550 679 98.1 globlastp 4093 oat|11v1|CN818158_P1 7551 679 98.1 globlastp 4094 oat|11v1|SRR020741.132872_P1 7551 679 98.1 globlastp 4095 rye|12v1|DRR001012.882529 7552 679 98.1 glotblastn 4096 wheat|12v3|BE213314 7553 679 98.1 globlastp 4097 wheat|12v3|BG313648 7554 679 97.72 glotblastn 4098 oat|11v1|CN818384_P1 7555 679 97.3 globlastp 4099 rye|12v1|DRR001012.371748 7556 679 96.6 globlastp 4100 wheat|12v3|BE425237 7557 679 96.6 globlastp 4101 rye|12v1|DRR001012.338927 7558 679 94.72 glotblastn 4102 rice|11v1|AF022739 7559 679 94.7 globlastp 4103 switchgrass|12v1|SRRl87768.89507_P1 7560 679 91.7 globlastp 4104 maize|10v1|MZEORFI_P1 7561 679 91.7 globlastp 4105 millet|10v1|EB410931_P1 7562 679 91.7 globlastp 4106 switchgrass|12v1|DN143440_P1 7560 679 91.7 globlastp 4107 switchgrass|gb167|DN143440 7560 679 91.7 globlastp 4108 foxtail_millet|11v3|PHY7SI037076M_P1 7563 679 91.3 globlastp 4109 sorghum|12v1|AW283115 7564 679 91.3 globlastp 4110 sorghum|12v1|SB01G015400 7564 679 91.3 globlastp 4111 switchgrass|12v1|DN144083_T1 7565 679 90.57 glotblastn 4112 switchgrass|12v1|DN147434_T1 7566 679 90.57 glotblastn 4113 cynodon|10v1|ES292265_P1 7567 679 90.5 globlastp 4114 lovegrass|gb167|DN480829_P1 7568 679 89 globlastp 4115 oil_palm|11v1|SRR190698.280201_P1 7569 679 89 globlastp 4116 antirrhinum|gb166|AJ568367_P1 7570 679 88.8 globlastp 4117 aristolochia|10v1|SRR039085S0197472_P1 7571 679 88.7 globlastp 4118 cucurbita|11v1|SRR091276X104071_P1 7572 679 88.7 globlastp 4119 kiwi|gb166|FG397198_P1 7573 679 88.3 globlastp 4120 liriodendron|gb166|CK767175_P1 7574 679 88.3 globlastp 4121 cucumber|09v1|AA660116_P1 7575 679 88 globlastp 4122 flaveria|11v1|SRR149232.119275_P1 7576 679 88 globlastp 4123 poplar|10v1|AI164040 7577 679 88 globlastp 4124 tea|10v1|CV013768 7578 679 88 globlastp 4125 wheat|12v3|CJ716221 7579 679 87.8 globlastp 4126 poplar|13v1|AI162183_P1 7580 679 87.6 globlastp 4127 ambrosia|11v1|SRR346943.12315_P1 7581 679 87.6 globlastp 4128 cannabis|12v1|EW700699_P1 7582 679 87.6 globlastp 4129 cannabis|12v1|GR221144_P1 7582 679 87.6 globlastp 4130 chestnut|gb170|AF417304_P1 7583 679 87.6 globlastp 4131 eschscholzia|11v1|CK764821_P1 7584 679 87.6 globlastp 4132 flaveria|11v1|SRR149229.103066_P1 7585 679 87.6 globlastp 4133 flaveria|11v1|SRR149229.133211_P1 7585 679 87.6 globlastp 4134 flaveria|11v1|SRR149229.26461XX1_P1 7585 679 87.6 globlastp 4135 flaveria|11v1|SRR149232.115148_P1 7585 679 87.6 globlastp 4136 flaveria|11v1|SRR149232.145844_P1 7586 679 87.6 globlastp 4137 flaveria|11v1|SRR149232.190929_P1 7585 679 87.6 globlastp 4138 flaveria|11v1|SRR149241.10181_P1 7585 679 87.6 globlastp 4139 grape|11v1|GSVIVT01030053001_P1 7587 679 87.6 globlastp 4140 jatropha|09v1|GH295683_P1 7588 679 87.6 globlastp 4141 melon|10v1|CF674904_P1 7589 679 87.6 globlastp 4142 oak|10v1|CU657887_P1 7583 679 87.6 globlastp 4143 oak|10v1|CU657896_P1 7583 679 87.6 globlastp 4144 oak|10v1|DB996682_P1 7583 679 87.6 globlastp 4145 oak|10v1|DB998065_P1 7583 679 87.6 globlastp 4146 oak|10v1|FN718861_P1 7583 679 87.6 globlastp 4147 oak|10v1|FP045120_P1 7583 679 87.6 globlastp 4148 oak|10v1|SRR006307S0007311_P1 7583 679 87.6 globlastp 4149 oak|10v1|SRR039734S0015335_P1 7583 679 87.6 globlastp 4150 oak|10v1|SRR039734S0080903_P1 7583 679 87.6 globlastp 4151 oak|10v1|SRR039734S0086911_P1 7583 679 87.6 globlastp 4152 oak|10v1|SRR039736S0009196_P1 7583 679 87.6 globlastp 4153 oak|10v1|SRR039736S0072306_P1 7583 679 87.6 globlastp 4154 oak|10v1|SRR039740S0045447_P1 7583 679 87.6 globlastp 4155 orange|11v1|AF312227_P1 7590 679 87.6 globlastp 4156 papaya|gb165|EX248933_P1 7591 679 87.6 globlastp 4157 tripterygium|11v1|SRR098677X103515 7592 679 87.6 globlastp 4158 poplar|13v1|BI069694_P1 7593 679 87.6 globlastp 4159 scabiosa|11v1|SRR063723X100037 7594 679 87.5 globlastp 4160 scabiosa|11v1|SRR063723X100386 7595 679 87.5 globlastp 4161 clementine|11v1|AF312227_P1 7596 679 87.3 globlastp 4162 sesame|12v1|SESI12V1397389 7597 679 87.3 globlastp 4163 flaveria|11v1|SRR149232.287040_T1 7598 679 87.22 glotblastn 4164 flaveria|11v1|SRR149232.443407_T1 7599 679 87.22 glotblastn 4165 oak|10v1|FN755430_T1 7600 679 87.22 glotblastn 4166 oak|10v1|SRR006309S0041356_T1 7601 679 87.22 glotblastn 4167 peach|gb157.2|BU039212_P1 7602 679 87.2 globlastp 4168 prunus_mume|13v1|BI203091_P1 7603 679 87.2 globlastp 4169 ambrosia|11v1|SRR346935.117253_P1 7604 679 87.2 globlastp 4170 ambrosia|11v1|SRR346935.147253_P1 7605 679 87.2 globlastp 4171 apple|11v1|CN861354_P1 7606 679 87.2 globlastp 4172 catharanthus|11v1|EG554220_P1 7607 679 87.2 globlastp 4173 flaveria|11v1|SRR149229.166261_P1 7608 679 87.2 globlastp 4174 fraxinus|11v1|SRR058827.100981_P1 7609 679 87.2 globlastp 4175 onion|12v1|CF435462_P1 7610 679 87.2 globlastp 4176 poplar|10v1|BI069694 7611 679 87.2 globlastp 4177 primula|11v1|SRR098679X101097_P1 7612 679 87.2 globlastp 4178 prunus|10v1|BI203091 7602 679 87.2 globlastp 4179 sunflower|12v1|CD846630 7613 679 87.2 globlastp 4180 tobacco|gb162|CO046503 7614 679 87.2 globlastp 4181 tobacco|gb162|CV015951 7615 679 87.2 globlastp 4182 flaveria|11v1|SRR149229.102100_T1 7616 679 87.17 glotblastn 4183 oak|10v1|DB998558_P1 7617 679 86.9 globlastp 4184 oak|10v1|FP025055_P1 7617 679 86.9 globlastp 4185 flaveria|11v1|SRR149241.235250_T1 7618 679 86.84 glotblastn 4186 olea|13v1|SRR014463X10518D1_P1 7619 679 86.8 globlastp 4187 ambrosia|11v1|SRR346935.103321_P1 7620 679 86.8 globlastp 4188 apple|11v1|CN493989_P1 7621 679 86.8 globlastp 4189 artemisia|10v1|EY033550_P1 7622 679 86.8 globlastp 4190 chelidonium|11v1|SRR084752X101005_P1 7623 679 86.8 globlastp 4191 cotton|11v1|AI055533_P1 7624 679 86.8 globlastp 4192 cotton|11v1|CA992753_P1 7625 679 86.8 globlastp 4193 cotton|11v1|SRR032799.214106_P1 7626 679 86.8 globlastp 4194 dandelion|10v1|DY815081_P1 7627 679 86.8 globlastp 4195 flaveria|11v1|SRR149232.100184_P1 7628 679 86.8 globlastp 4196 flaveria|11v1|SRR149232.140133_P1 7629 679 86.8 globlastp 4197 flaveria|11v1|SRR149232.26769_P1 7629 679 86.8 globlastp 4198 flaveria|11v1|SRR149238.14417_P1 7629 679 86.8 globlastp 4199 flaveria|11v1|SRR149238.21025_P1 7630 679 86.8 globlastp 4200 flaveria|11v1|SRR149241.107004_P1 7629 679 86.8 globlastp 4201 gossypium_raimondii|12v1|AI055533_P1 7624 679 86.8 globlastp 4202 gossypium_raimondii|12v1|CA992753_P1 7631 679 86.8 globlastp 4203 kiwi|gb166|FG403363_P1 7632 679 86.8 globlastp 4204 nicotiana_benthamiana|12v1|CN655121_P1 7633 679 86.8 globlastp 4205 nicotiana_benthamiana|gb162|CN655121 7633 679 86.8 globlastp 4206 olea|11v1|SRR014463.10518 7634 679 86.8 globlastp 4207 petunia|gb171|CV299277_P1 7635 679 86.8 globlastp 4208 potato|10v1|BI405771_P1 7636 679 86.8 globlastp 4209 solanum_phureja|09v1|SPHTOMCAB4A 7636 679 86.8 globlastp 4210 tobacco|gb162|AY219853 7637 679 86.8 globlastp 4211 tripterygium|11v1|SRR098677X100129 7638 679 86.8 globlastp 4212 walnuts|gb166|EL890970 7639 679 86.8 globlastp 4213 watermelon|11v1|AA660116 7640 679 86.8 globlastp 4214 watermelon|11v1|DV632407 7640 679 86.8 globlastp 4215 eggplant|10v1|FS008108_P1 7641 679 86.7 globlastp 4216 oak|10v1|FN726305_P1 7642 679 86.6 globlastp 4217 oak|10v1|FN733084_P1 7642 679 86.6 globlastp 4218 oak|10v1|FP041636_P1 7642 679 86.6 globlastp 4219 oak|10v1|SRR039739S0093167_T1 7643 679 86.57 glotblastn 4220 ambrosia|11v1|GW917892_P1 7644 679 86.5 globlastp 4221 artemisia|10v1|GW328360_P1 7645 679 86.5 globlastp 4222 artemisia|10v1|SRR019254S0010163_P1 7646 679 86.5 globlastp 4223 cleome_gynandra|10v1|SRR015532S0001436_P1 7647 679 86.5 globlastp 4224 cotton|11v1|CO070637_P1 7648 679 86.5 globlastp 4225 cotton|11v1|CO088170_P1 7649 679 86.5 globlastp 4226 euonymus|11v1|SRR070038X100346_P1 7650 679 86.5 globlastp 4227 euonymus|11v1|SRR070038X126789_P1 7650 679 86.5 globlastp 4228 fraxinus|11v1|SRR058827.78550_P1 7651 679 86.5 globlastp 4229 gossypium_raimondii|12v1|EX167041_P1 7648 679 86.5 globlastp 4230 humulus|11v1|ES437745_P1 7652 679 86.5 globlastp 4231 monkeyflower|10v1|DV206930 7653 679 86.5 globlastp 4232 parthenium|10v1|GW777165_P1 7654 679 86.5 globlastp 4233 phyla|11v2|SRR099035X122028_P1 7655 679 86.5 globlastp 4234 primula|11v1|SRR098679X100066_P1 7656 679 86.5 globlastp 4235 primula|11v1|SRR098679X10006_P1 7657 679 86.5 globlastp 4236 primula|11v1|SRR098679X100570_P1 7656 679 86.5 globlastp 4237 primula|11v1|SRR098679X116775_P1 7656 679 86.5 globlastp 4238 tobacco|gb162|BU673944 7658 679 86.5 globlastp 4239 nicotiana_benthamiana|12v1|AY219853_P1 7659 679 86.5 globlastp 4240 castorbean|11v1|EE254310 7660 679 86.47 glotblastn 4241 castorbean|12v1|EE254128_T1 7660 679 86.47 glotblastn 4242 flaveria|11v1|SRR149239.140984_T1 7661 679 86.47 glotblastn 4243 flaveria|11v1|SRR149241.127580XX1_T1 7662 679 86.47 glotblastn 4244 flaveria|11v1|SRR149229.10104_T1 7663 679 86.42 glotblastn 4245 artemisia|10v1|EY031992_P1 7664 679 86.4 globlastp 4246 beet|12v1|Y13865_P1 7665 679 86.4 globlastp 4247 blueberry|12v1|SRR353282X11622D1_P1 7666 679 86.4 globlastp 4248 hornbeam|12v1|SRR364455.101039_P1 7667 679 86.4 globlastp 4249 wheat|12v3|TA12V3CRP193058 7665 679 86.4 globlastp 4250 blueberry|12v1|SRR353282X14069D1_T1 7668 679 86.36 glotblastn 4251 leymus|gb166|CD808679_P1 7669 679 86.3 globlastp 4252 flaveria|11v1|SRR149232.118398_P1 7670 679 86.2 globlastp 4253 oak|10v1|SRR039742S0071982_T1 7671 679 86.19 glotblastn 4254 apple|11v1|CV128668_T1 7672 679 86.14 glotblastn 4255 amsonia|11v1|SRR098688X118176_P1 7673 679 86.1 globlastp 4256 cirsium|11v1|SRR346952.11999_P1 7674 679 86.1 globlastp 4257 coffea|10v1|DV663455_P1 7675 679 86.1 globlastp 4258 euonymus|11v1|SRR070038X104689_P1 7676 679 86.1 globlastp 4259 euonymus|11v1|SRR070038X117540_P1 7677 679 86.1 globlastp 4260 euonymus|11v1|SRR070038X120123_P1 7678 679 86.1 globlastp 4261 ginseng|10v1|AB236867_P1 7679 679 86.1 globlastp 4262 ipomoea_batatas|10v1|CB330898_P1 7680 679 86.1 globlastp 4263 nicotiana_benthamiana|12v1|CN655392_P1 7681 679 86.1 globlastp 4264 nicotiana_benthamiana|gb162|CN655392 7681 679 86.1 globlastp 4265 nicotiana_benthamiana|gb162|CN744088 7682 679 86.1 globlastp 4266 pepper|12v1|BM059797_P1 7683 679 86.1 globlastp 4267 pteridium|11v1|SRR043594X100088 7684 679 86.1 globlastp 4268 spurge|gb161|BG467374 7685 679 86.1 globlastp 4269 strawberry|11v1|COS16850 7686 679 86.1 globlastp 4270 tomato|11v1|TOMCAB4A 7687 679 86.1 globlastp 4271 flaveria|11v1|SRR149232.106135_T1 7688 679 86.09 glotblastn 4272 flaveria|11v1|SRR149244.184810_T1 7689 679 86.09 glotblastn 4273 primula|11v1|SRR098679X102577_T1 7690 679 86.09 glotblastn 4274 nicotiana_benthamiana|12v1|CN742096_P1 7691 679 86 globlastp 4275 nicotiana_benthamiana|gb162|CN742025 7691 679 86 globlastp 4276 flaveria|11v1|SRR149232.261626_T1 7692 679 85.71 glotblastn 4277 gossypium_raimondii|12v1|SRR032881.377381_T1 7693 679 85.71 glotblastn 4278 amborella|12v3|FD430431_P1 7694 679 85.7 globlastp 4279 arnica|11v1|SRR099034X100993_P1 7695 679 85.7 globlastp 4280 arnica|11v1|SRR099034X104794_P1 7696 679 85.7 globlastp 4281 artemisia|10v1|EY036084_P1 7697 679 85.7 globlastp 4282 b_juncea|12v1|E6ANDIZ01A5Z1E_P1 7698 679 85.7 globlastp 4283 b_oleracea|gb161|DY029975_P1 7699 679 85.7 globlastp 4284 beech|11v1|DT317612_P1 7700 679 85.7 globlastp 4285 canola|11v1|CN730788_P1 7699 679 85.7 globlastp 4286 cotton|11v1|CO073198_P1 7701 679 85.7 globlastp 4287 eucalyptus|11v2|ES588412_P1 7702 679 85.7 globlastp 4288 gossypium_raimondii|12v1|BM359605_P1 7701 679 85.7 globlastp 4289 ipomoea_nil|10v1|BJ555028_P1 7703 679 85.7 globlastp 4290 lotus|09v1|AI967689_P1 7704 679 85.7 globlastp 4291 nasturtium|11v1|SRR032558.110591_P1 7705 679 85.7 globlastp 4292 plantago|11v2|SRR066373X153324_P1 7706 679 85.7 globlastp 4293 platanus|11v1|SRR096786X100930_P1 7707 679 85.7 globlastp 4294 radish|gb164|EV539160 7708 679 85.7 globlastp 4295 rose|12v1|BQ105419 7709 679 85.7 globlastp 4296 soybean|11v1|GLYMA02G47560 7710 679 85.7 globlastp 4297 soybean|12v1|GLYMA02G47560_P1 7710 679 85.7 globlastp 4298 tragopogon|10v1|SRR020205S0000345 7711 679 85.7 globlastp 4299 zamia|gb166|DY031222 7712 679 85.61 glotblastn 4300 switchgrass|gb167|DN144083 7713 679 85.6 globlastp 4301 wheat|12v3|BJ243829 7714 679 85.55 glotblastn 4302 triphysaria|10v1|EX982551 7715 679 85.4 globlastp 4303 wheat|12v3|BE213396 7716 679 85.4 globlastp 4304 flaveria|11v1|SRR149240.400347_T1 7717 679 85.34 glotblastn 4305 b_juncea|12v1|E6ANDIZ01A1QOA_P1 7718 679 85.3 globlastp 4306 b_juncea|12v1|E6ANDIZ01A1X7Z_P1 7719 679 85.3 globlastp 4307 b_rapa|11v1|CN729524_P1 7718 679 85.3 globlastp 4308 banana|12v1|DN238651_P1 7720 679 85.3 globlastp 4309 flaveria|11v1|SRR149232.100433_P1 7721 679 85.3 globlastp 4310 oil_palm|11v1|SRR190698.104272_P1 7722 679 85.3 globlastp 4311 onion|12v1|CF435798_P1 7723 679 85.3 globlastp 4312 potato|10v1|AW096885_P1 7724 679 85.3 globlastp 4313 sarracenia|11v1|SRR192669.104211 7725 679 85.3 globlastp 4314 solanum_phureja|09v1|SPHTOMCAB5A 7726 679 85.3 globlastp 4315 tomato|11v1|TOMCAB5A 7727 679 85.3 globlastp 4316 flaveria|11v1|SRR149232.101185_P1 7728 679 85.2 globlastp 4317 b_juncea|12v1|E6ANDIZ01A12AY_P1 7729 679 85 globlastp 4318 b_juncea|12v1|E6ANDIZ01A1WNX_P1 7730 679 85 globlastp 4319 b_rapa|11v1|H07776_P1 7730 679 85 globlastp 4320 canola|11v1|DQ068137_P1 7731 679 85 globlastp 4321 cleome_spinosa|10v1|SRR015531S0000194_P1 7732 679 85 globlastp 4322 curcuma|10v1|DY384030_P1 7733 679 85 globlastp 4323 euphorbia|11v1|SRR098678X11662_P1 7734 679 85 globlastp 4324 flax|11v1|CV478200_P1 7735 679 85 globlastp 4325 ginger|gb164|DY345128_P1 7736 679 85 globlastp 4326 pepper|12v1|BM064264_P1 7737 679 85 globlastp 4327 phalaenopsis|11v1|SRR125771.1001461_P1 7738 679 85 globlastp 4328 phalaenopsis|11v1|SRR125771.1037297_P1 7738 679 85 globlastp 4329 phalaenopsis|11v1|SRR125771.1105138XX1_P1 7739 679 85 globlastp 4330 pigeonpea|11v1|GR472384_P1 7740 679 85 globlastp 4331 silene|11v1|SRR096785X165309 7741 679 85 globlastp 4332 soybean|11v1|GLYMA14G01130 7742 679 85 globlastp 4333 soybean|12v1|GLYMA14G01130_P1 7742 679 85 globlastp 4334 thellungiella_parvulum|11v1|DN773146 7743 679 85 globlastp 4335 vinca|11v1|SRR098690X102339 7744 679 85 globlastp 4336 flaveria|11v1|SRR149232.121548_T1 7745 679 84.96 glotblastn 4337 platanus|11v1|SRR096786X100804_T1 7746 679 84.91 glotblastn 4338 podocarpus|10v1|SRR065014S0000148_P1 7747 679 84.9 globlastp 4339 tamarix|gb166|CF199718 7748 679 84.9 globlastp 4340 bean|12v2|CB280487_P1 7749 679 84.6 globlastp 4341 arabidopsis_lyrata|09v1|JGIAL011472_P1 7750 679 84.6 globlastp 4342 arabidopsis_lyrata|09v1|JGIAL016921_P1 7751 679 84.6 globlastp 4343 arabidopsis|10v1|AT2G05070_P1 7752 679 84.6 globlastp 4344 arabidopsis|10v1|AT2G05100_P1 7753 679 84.6 globlastp 4345 arabidopsis|10v1|AT3G27690_P1 7754 679 84.6 globlastp 4346 b_juncea|12v1|E6ANDIZ01A03AV_P1 7755 679 84.6 globlastp 4347 b_juncea|12v1|E6ANDIZ01A0Z2K_P1 7756 679 84.6 globlastp 4348 b_juncea|12v1|E6ANDIZ01A1N6D_P1 7755 679 84.6 globlastp 4349 b_juncea|12v1|E6ANDIZ01A1NND_P1 7757 679 84.6 globlastp 4350 b_juncea|12v1|E6ANDIZ01A1R82_P1 7755 679 84.6 globlastp 4351 b_juncea|12v1|E6ANDIZ01A1TII_P1 7755 679 84.6 globlastp 4352 b_juncea|12v1|E6ANDIZ01A306F_P1 7758 679 84.6 globlastp 4353 b_juncea|12v1|E6ANDIZ01A3850_P1 7755 679 84.6 globlastp 4354 b_rapa|11v1|CD841551_P1 7755 679 84.6 globlastp 4355 b_rapa|11v1|H07528_P1 7755 679 84.6 globlastp 4356 bean|12v1|CB280487 7749 679 84.6 globlastp 4357 canola|11v1|CN728926_P1 7759 679 84.6 globlastp 4358 canola|11v1|CN735221_P1 7755 679 84.6 globlastp 4359 canola|11v1|EE498384_P1 7760 679 84.6 globlastp 4360 cowpea|12v1|AF279248_P1 7761 679 84.6 globlastp 4361 flax|11v1|EH791162XX1_P1 7762 679 84.6 globlastp 4362 peanut|10v1|CD037580_P1 7763 679 84.6 globlastp 4363 primula|11v1|SRR098679X100468_P1 7764 679 84.6 globlastp 4364 radish|gb164|EV566349 7765 679 84.6 globlastp 4365 tabernaemontana|11v1|SRR098689X100234 7766 679 84.6 globlastp 4366 thellungiella_parvulum|11v1|EPCRP010282 7767 679 84.6 globlastp 4367 trigonella|11v1|SRR066194X107056 7768 679 84.6 globlastp 4368 vinca|11v1|SRR098690X102987 7769 679 84.6 globlastp 4369 bruguiera|gb166|BP938701_T1 7770 679 84.59 glotblastn 4370 euphorbia|11v1|BG467374_T1 7771 679 84.59 glotblastn 4371 naveria|11v1|SRR149232.382755_T1 7772 679 84.59 glotblastn 4372 distylium|11v1|SRR065077X100508_P1 7773 679 84.5 globlastp 4373 rye|12v1|DRR001012.124233 7774 679 84.41 glotblastn 4374 pseudoroegneria|gb167|FF344287 7775 679 84.4 globlastp 4375 b_juncea|12v1|E6ANDIZ01A030U_P1 7776 679 84.3 globlastp 4376 b_juncea|12v1|E6ANDIZ01A3ULG_P1 7777 679 84.3 globlastp 4377 canola|11v1|CN728765_P1 7778 679 84.3 globlastp 4378 canola|11v1|H07668_P1 7778 679 84.3 globlastp 4379 phalaenopsis|11v1|SRR125771.1028146_T1 7779 679 84.27 glotblastn 4380 acacia|10v1|GR481547_P1 7780 679 84.2 globlastp 4381 canola|11v1|DW998983_P1 7781 679 84.2 globlastp 4382 clover|gb162|BB902546_P1 7782 679 84.2 globlastp 4383 medicago|12v1|AW698691_P1 7783 679 84.2 globlastp 4384 pea|11v1|X06822_P1 7784 679 84.2 globlastp 4385 tamarix|gb166|EH048487 7785 679 84.15 glotblastn 4386 conyza|10v1|SRR035294S0000873_P1 7786 679 84.1 globlastp 4387 nasturtium|11v1|SRR032558.100687P1 7787 679 84.1 globlastp 4388 flaveria|11v1|SRR149229.203075_T1 7788 679 84.03 glotblastn 4389 b_juncea|12v1|E6ANDIZ01B5EYF_P1 7789 679 83.9 globlastp 4390 phalaenopsis|11v1|SRR125771.1067548_T1 7790 679 83.9 glotblastn 4391 thellungiella_halophilum|11v1|DN773488 7791 679 83.9 globlastp 4392 b_rapa|11v1|H07520_T1 7792 679 83.83 glotblastn 4393 flaveria|11v1|SRR149241.1012_T1 7793 679 83.83 glotblastn 4394 chickpea|13v2|FE670525_P1 7794 679 83.8 globlastp 4395 chickpea|13v2|SRR133517.116766_P1 7794 679 83.8 globlastp 4396 zostera|12v1|AM766581_P1 7795 679 83.8 globlastp 4397 zostera|12v1|AM766700_P1 7796 679 83.8 globlastp 4398 zostera|12v1|AM767071_P1 7796 679 83.8 globlastp 4399 zostera|12v1|AM771182_P1 7796 679 83.8 globlastp 4400 zostera|12v1|AM772561_P1 7796 679 83.8 globlastp 4401 zostera|12v1|SRR057351X10159D1_P1 7796 679 83.8 globlastp 4402 zostera|12v1|SRR057351X113049D1_P1 7796 679 83.8 globlastp 4403 zostera|12v1|SRR057351X12377D1_P1 7796 679 83.8 globlastp 4404 zostera|12v1|SRR057351X138286D1_P1 7796 679 83.8 globlastp 4405 zostera|12v1|SRR057351X192166D1_P1 7796 679 83.8 globlastp 4406 zostera|12v1|SRR057351X20043D1_P1 7796 679 83.8 globlastp 4407 zostera|12v1|SRR057351X384031D1_P1 7796 679 83.8 globlastp 4408 zostera|12v1|SRR057351X497879D1_P1 7796 679 83.8 globlastp 4409 zostera|12v1|SRR287819X138665D1_P1 7796 679 83.8 globlastp 4410 zostera|12v1|SRR287819X35431D1_P1 7796 679 83.8 globlastp 4411 chickpea|11v1|SRR133517.1121 7794 679 83.8 globlastp 4412 pine|10v2|H75042_P1 7797 679 83.8 globlastp 4413 pseudotsuga|10v1|SRR065119S0008709 7798 679 83.8 globlastp 4414 silene|11v1|DV768290 7799 679 83.8 globlastp 4415 zostera|10v1|AM766581 7796 679 83.8 globlastp 4416 chickpea|13v2|FE668437_P1 7794 679 83.8 globlastp 4417 zostera|12v1|SRR057351X182694D1_T1 7800 679 83.77 glotblastn 4418 tripterygium|11v1|SRR098677X347520 7801 679 83.71 glotblastn 4419 radish|gb164|EW715183 7802 679 83.58 glotblastn 4420 b_rapa|11v1|CB686314_T1 7803 679 83.52 glotblastn 4421 canola|11v1|H07528_T1 7804 679 83.52 glotblastn 4422 canola|11v1|SRR019558.17346_T1 7805 679 83.52 glotblastn 4423 chickpea|13v2|FE668894_P1 7806 679 83.5 globlastp 4424 chickpea|13v2|SRR133517.1121_P1 7806 679 83.5 globlastp 4425 aquilegia|10v2|DR947630_P1 7807 679 83.5 globlastp 4426 spruce|11v1|AF247178XX2 7808 679 83.46 glotblastn 4427 zostera|12v1|SRR057351X382862D1_T1 7809 679 83.4 glotblastn 4428 zostera|12v1|SRR057351X453918D1_T1 7810 679 83.4 glotblastn 4429 zostera|12v1|SRR287819X118789D1_T1 7811 679 83.4 glotblastn 4430 zostera|12v1|SRR287819X139486D1_T1 7812 679 83.4 glotblastn 4431 iceplant|gb164|BE034672_P1 7813 679 83.4 globlastp 4432 epimedium|11v1|SRR013502.1002_P1 7814 679 83.3 globlastp 4433 flax|11v1|JG103153_P1 7815 679 83.3 globlastp 4434 senecio|gb170|CO553206 7816 679 83.3 globlastp 4435 cedrus|11v1|SRR065007X101826_P1 7817 679 83.1 globlastp 4436 euphorbia|11v1|DV116721_P1 7818 679 83.1 globlastp 4437 maritime_pine|10v1|AL749749_P1 7819 679 83.1 globlastp 4438 phalaenopsis|11v1|SRR125771.1001581_P1 7820 679 83.1 globlastp 4439 poppy|11v1|SRR030259.10434_P1 7821 679 83.1 globlastp 4440 poppy|11v1|SRR030259.230238_P1 7821 679 83.1 globlastp 4441 poppy|11v1|SRR030259.77777XX2_P1 7821 679 83.1 globlastp 4442 poppy|11v1|SRR030259.83862_P1 7821 679 83.1 globlastp 4443 spruce|11v1|ES667439XX2 7822 679 83.1 globlastp 4444 chickpea|13v2|FE670924_T1 7823 679 83.08 glotblastn 4445 spruce|11v1|AF247178XX1 7824 679 83.08 glotblastn 4446 zostera|12v1|SRR057351X345894D1_T1 7825 679 83.02 glotblastn 4447 zostera|12v1|SRR057351X495982D1_T1 7826 679 83.02 glotblastn 4448 zostera|12v1|SRR287819X80644D1_T1 7827 679 83.02 glotblastn 4449 zostera|12v1|SRR287819X117482D1_T1 7828 679 83.02 glotblastn 4450 taxus|10v1|SRR032523S0000608 7829 679 83 globlastp 4451 flaveria|11v1|SRR149232.103725_T1 7830 679 82.95 glotblastn 4452 valeriana|11v1|SRR099041X150486 7831 679 82.9 globlastp 4453 cichorium|gb171|EH694526_T1 7832 679 82.89 glotblastn 4454 flaveria|11v1|SRR149229.460712_T1 7833 679 82.89 glotblastn 4455 flaveria|11v1|SRR149238.103830_T1 7834 679 82.89 glotblastn 4456 b_rapa|11v1|L33601_T1 7835 679 82.84 glotblastn 4457 abies|11v2|SRR098676X10263_P1 7836 679 82.8 globlastp 4458 b_juncea|12v1|E6ANDIZ01AO4N7_P1 7837 679 82.8 globlastp 4459 cedrus|11v1|SRR065007X10066_P1 7838 679 82.8 globlastp 4460 artemisia|10v1|EY043666_T1 7839 679 82.71 glotblastn 4461 spruce|11v1|ES866284XX1 7840 679 82.71 glotblastn 4462 cedrus|11v1|SRR065007X100115_P1 7841 679 82.7 globlastp 4463 cedrus|11v1|SRR065007X100351_P1 7842 679 82.7 globlastp 4464 cedrus|11v1|SRR065007X102605XX1_P1 7841 679 82.7 globlastp 4465 maritime_pine|10v1|BX681281_P1 7841 679 82.7 globlastp 4466 pine|10v2|AL749749_P1 7843 679 82.7 globlastp 4467 pine|10v2|X13407_P1 7844 679 82.7 globlastp 4468 poppy|11v1|SRR030260.101101_P1 7845 679 82.7 globlastp 4469 pseudotsuga|10v1|SRR065119S0002848 7846 679 82.7 globlastp 4470 spruce|11v1|ES245009XX2 7847 679 82.7 globlastp 4471 zostera|12v1|SRR287819X106739D1_T1 7848 679 82.64 glotblastn 4472 blueberry|12v1|SRR353282X1205D1_P1 7849 679 82.6 globlastp 4473 cephalotaxus|11v1|SRR064395X100438_P1 7850 679 82.6 globlastp 4474 epimedium|11v1|SRR013502.1083_P1 7851 679 82.6 globlastp 4475 poppy|11v1|SRR030259.16930_P1 7852 679 82.6 globlastp 4476 zostera|12v1|SRR287819X116036D1_T1 7853 679 82.51 glotblastn 4477 cycas|gb166|CB089403_P1 7854 679 82.5 globlastp 4478 flaveria|11v1|SRR149229.105154_P1 7855 679 82.5 globlastp 4479 flaveria|11v1|SRR149229.128816_P1 7855 679 82.5 globlastp 4480 silene|11v1|SIPCAB 7856 679 82.5 globlastp 4481 thellungiella_halophilum|11v1|DN773146 — 679 82.46 glotblastn 4482 abies|11v2|SRR098676X103819_P1 7857 679 82.4 globlastp 4483 b_juncea|12v1|E6ANDIZ01A5T96_P1 7858 679 82.4 globlastp 4484 poppy|11v1|SRR030260.126583XX2_T1 7859 679 82.33 glotblastn 4485 spruce|11v1|GT885731 7860 679 82.33 glotblastn 4486 flaveria|11v1|SRR149239.62768_P1 7861 679 82.3 globlastp 4487 maritime_pine|10v1|AJ309102_P1 7862 679 82.3 globlastp 4488 poppy|11v1|SRR030259.10584_P1 7863 679 82.3 globlastp 4489 poppy|11v1|SRR030261.48143_P1 7864 679 82.3 globlastp 4490 poppy|11v1|SRR030265.257384_P1 7865 679 82.3 globlastp 4491 spruce|11v1|ES245009XX1 7866 679 82.3 globlastp 4492 spruce|11v1|ES667997XX1 7867 679 82.3 globlastp 4493 spruce|11v1|FD739232XX2 7868 679 82.3 globlastp 4494 zostera|12v1|SRR287822X109188D1_T1 7869 679 82.26 glotblastn 4495 zostera|12v1|SRR287822X91863D1_T1 7870 679 82.26 glotblastn 4496 zostera|12v1|SRR287908X123712D1_T1 7871 679 82.26 glotblastn 4497 flax|11v1|JG103521_P1 7872 679 82.2 globlastp 4498 sequoia|10v1|SRR065044S0005034 7873 679 82.2 globlastp 4499 flaveria|11v1|SRR149241.121618_T1 7874 679 82.13 glotblastn 4500 flaveria|11v1|SRR149241.14885_T1 7875 679 82.13 glotblastn 4501 oak|10v1|FP025890_T1 7876 679 81.95 glotblastn 4502 spruce|11v1|ES667073XX1 7877 679 81.95 glotblastn 4503 spruce|11v1|ES667273XX2 7878 679 81.95 glotblastn 4504 flaveria|11v1|SRR149232.223435_T1 7879 679 81.82 glotblastn 4505 ambrosia|11v1|SRR346943.117749_P1 7880 679 81.7 globlastp 4506 oak|10v1|FP025574_P1 7881 679 81.7 globlastp 4507 spikemosslgbl65IDN838028 7882 679 81.65 glotblastn 4508 zostera|12v1|SRR057351X785286D1_P1 7883 679 81.6 globlastp 4509 zostera|12v1|SRR287822X123050D1_P1 7883 679 81.6 globlastp 4510 zostera|12v1|SRR287828X1935D1_P1 7884 679 81.6 globlastp 4511 centaurea|11v1|EH725583_P1 7885 679 81.6 globlastp 4512 poppy|11v1|SRR030259.128803_P1 7886 679 81.6 globlastp 4513 senecio|gb170|DY659329 7887 679 81.6 globlastp 4514 spruce|11v1|EX396361XX1 7888 679 81.6 globlastp 4515 sequoia|10v1|SRR065044S0052503 7889 679 81.41 glotblastn 4516 monkeyflower|12v1|DV206485_P1 7890 679 81.4 globlastp 4517 spruce|11v1|EX424733XX1 7891 679 81.37 glotblastn 4518 spruce|11v1|ES661748XX1 7892 679 81.3 globlastp 4519 chickpea|13v2|SRR133521.241946_T1 7893 679 81.2 glotblastn 4520 artemisia|10v1|EY065972_T1 7894 679 81.2 glotblastn 4521 cedrus|11v1|SRR065007X100555_T1 7895 679 81.2 glotblastn 4522 fern|gb171|DK944111_P1 7896 679 81.2 globlastp 4523 pine|10v2|PPU51634_T1 7897 679 81.2 glotblastn 4524 pteridium|11v1|SRR043594X100886 7898 679 81.2 globlastp 4525 cenchrus|gb166|EB670451_P1 7899 679 81.1 globlastp 4526 pteridium|11v1|GW574843 7900 679 81.1 globlastp 4527 euphorbia|11v1|SRR098678X113578_T1 7901 679 81.06 glotblastn 4528 euphorbia|11v1|SRR098678X18309_T1 7902 679 81.06 glotblastn 4529 artemisia|10v1|EY045804_P1 7903 679 81 globlastp 4530 zostera|12v1|SRR287908X101490D1_T1 7904 679 80.97 glotblastn 4531 canola|11v1|EG020467_T1 7905 679 80.9 glotblastn 4532 chickpea|13v2|SRR133517.104734_T1 7906 679 80.83 glotblastn 4533 cynara|gb167|GE591421_T1 7907 679 80.83 glotblastn 4534 zostera|12v1|SRR287819X123850D1_T1 7908 679 80.75 glotblastn 4535 cryptomeria|gb166|BW994897_P1 7909 679 80.7 globlastp 4536 flaveria|11v1|SRR149238.332042_T1 7910 679 80.61 glotblastn 4537 radish|gb164|EV542239 7911 679 80.61 glotblastn 4538 chickpea|13v2|SRR133517.100453_P1 7912 679 80.5 globlastp 4539 zostera|12v1|SRR287819X52076D1_T1 7913 679 80.45 glotblastn 4540 zostera|12v1|SRR287819X57215D1_T1 7914 679 80.23 glotblastn 4541 phalaenopsis|11v1|SRR125771.1148769_T1 7915 679 80.23 glotblastn 4542 spruce|11v1|ES262162XX1 7916 679 80.23 glotblastn 4543 euphorbia|11v1|DV137035_P1 7917 679 80.2 globlastp 4543 spurge|gb161|DV137035 7917 679 80.2 globlastp 4544 nasturtium|11v1|SRR032558.14184_P1 7918 679 80.2 globlastp 4545 chickpea|11v1|SRR133517.105445 7919 679 80.08 glotblastn 4546 flaveria|11v1|SRR149232.123511_T1 7920 679 80.08 glotblastn 4547 strawberry|11v1|EX663159 7921 679 80.08 glotblastn 4548 zostera|12v1|SRR287828X38246D1_T1 7922 679 80 glotblastn 4549 barley|12v1|CX631446_P1 7923 681 85 globlastp 4550 foxtail_millet|11v3|PHY7SI009670M_P1 7924 681 83.8 globlastp 4551 rice|11v1|D48912 7925 681 83.7 globlastp 4552 rye|12v1|DRR001012.143434 7926 681 83.4 globlastp 4553 sorghum|12v1|SB06G017470 7927 681 82.2 globlastp 4554 switchgrass|12v1|SRR187767.630949_P1 7928 681 82 globlastp 4555 switchgrass|12v1|FL916996_P1 7929 681 81.2 globlastp 4556 maize|10v1|BG833646_T1 7930 681 80.69 glotblastn 4557 foxtail_millet|11v3|PHY7SI036906M_P1 7931 682 82.7 globlastp 4558 switchgrass|12v1|DN140973_P1 7932 682 82.3 globlastp 4559 switchgrass|gb167|DN140777 7933 682 81.9 globlastp 4560 switchgrass|12v1|DN140777_P1 7934 682 81.6 globlastp 4561 switchgrass|gb167|DN140973 7935 682 81 glotblastn 4562 millet|10v1|CD725024_P1 7936 682 80.5 globlastp 4563 solanum_phureja|09v1|SPHAW154852 7937 683 89.4 globlastp 4564 eggplant|10v1|FS004080_P1 7938 683 83.8 globlastp 4565 wheat|12v3|BE443100 7939 693 95.7 globlastp 4566 rye|12v1|DRR001012.168798 7940 693 92.8 globlastp 4567 foxtail_millet|11v3|PHY7SI022926M_T1 7941 693 82.89 glotblastn 4568 rice|11v1|D40052 7942 693 81.3 globlastp 4569 switchgrass|gb167|FE642104 7943 693 81.2 globlastp 4570 switchgrass|12v1|FL863086_T1 7944 693 81.01 glotblastn 4571 foxtail_millet|11v3|PHY7SI005388M_P1 7945 693 80.4 globlastp 4572 sorghum|12v1|SB03G044860 7946 693 80.08 glotblastn 4573 pseudoroegneria|gb167|FF342114 7947 694 81.8 globlastp 4574 wheat|12v3|SRR073321X137372D1 7948 695 92.38 glotblastn 4575 wheat|12v3|SRR400820X100753D1 7949 695 92.38 glotblastn 4576 wheat|12v3|CA740981 7950 695 91.43 glotblastn 4577 wheat|12v3|AL810901 7951 695 90.48 glotblastn 4578 wheat|12v3|CJ543873 7952 695 89.52 glotblastn 4579 wheat|12v3|SRR073322X395399D1 7953 695 89.52 glotblastn 4580 wheat|12v3|CD920952 7954 695 86.67 glotblastn 4581 rye|12v1|DRR001012.620799 7955 695 85.71 glotblastn 4582 pseudoroegneria|gb167|FF344783 7956 695 84.1 globlastp 4583 wheat|12v3|CA649000 7957 696 83.05 glotblastn 4584 wheat|12v3|CJ540376 7958 696 81.88 glotblastn 4585 oat|11v1|GR351065_T1 7959 697 88.04 glotblastn 4586 rice|11v1|AT003532 7960 697 87.5 glotblastn 4587 foxtail_millet|11v3|PHY7SI023571M_T1 7961 697 85.1 glotblastn 4588 maize|10v1|AW455707_T1 7962 697 85.1 glotblastn 4589 sugarcane|10v1|CA075702 7963 697 84.62 glotblastn 4590 switchgrass|gb167|DN145223 7964 697 84.13 glotblastn 4591 switchgrass|12v1|DN145223_T1 7965 697 83.65 glotblastn 4592 sorghum|12v1|SB08G013180 7966 697 83.65 glotblastn 4593 millet|10v1|EVO454PM010844_T1 7967 697 83.17 glotblastn 4594 switchgrass|12v1|FE598880_T1 7968 697 82.21 glotblastn 4595 rice|11v1|BI804923 7969 700 84.93 glotblastn 4596 brachypodium|12v1|BRADI1G58250_T1 7970 700 84.08 glotblastn 4597 wheat|12v3|BQ172325 7971 700 84.07 glotblastn 4598 switchgrass|12v1|HO258167_T1 7972 700 82.48 glotblastn 4599 foxtail_millet|11v3|EC611896_P1 7973 701 94.1 globlastp 4600 switchgrass|12v1|FE633580_P1 7974 701 89.3 globlastp 4601 switchgrass|gb167|FE633580 7975 701 82.1 globlastp 4602 brachypodium|12v1|BRADI1G01870_T1 7976 701 80.37 glotblastn 4603 sorghum|12v1|SB06G032510 7977 702 88.5 globlastp 4604 switchgrass|12v1|SRR187769.1040771_P1 7978 702 87.8 globlastp 4605 maize|10v1|CD949464_P1 7979 702 86.5 globlastp 4606 sorghum|12v1|SB06G032490 7980 702 86.5 globlastp 4607 wheat|12v3|CA617374 7981 702 83.3 globlastp 4608 switchgrass|12v1|FE622730_P1 7982 703 86.2 globlastp 4609 foxtail_millet|11v3|PHY7SI029253M_T1 7983 703 86.08 glotblastn 4610 switchgrass|12v1|FL727202_T1 7984 703 85.46 glotblastn 4611 millet|10v1|EVO454PM027881_P1 7985 703 84.1 globlastp 4612 sugarcane|10v1|CA068859 704 704 100 globlastp 4613 sorghum|12v1|SB08G019790 7986 704 99.4 globlastp 4614 foxtail_millet|11v3|EC612562_P1 7987 704 96.7 globlastp 4615 switchgrass|12v1|DN141026_P1 7988 704 96.1 globlastp 4616 switchgrass|gb167|DN141026 7988 704 96.1 globlastp 4617 switchgrass|12v1|FE614174_P1 7989 704 96.1 globlastp 4618 switchgrass|gb167|FE614174 7990 704 95.6 globlastp 4619 millet|10v1|EVO454PM015232_P1 7991 704 95 globlastp 4620 cynodon|10v1|ES302192_P1 7992 704 91.7 globlastp 4621 lovegrass|gb167|DN480722_T1 7993 704 91.67 glotblastn 4622 brachypodium|12v1|BRADI4G03060_T1 7994 704 88.33 glotblastn 4623 oat|11v1|GO582551_P1 7995 704 87.9 globlastp 4624 oat|11v1|GO582656_P1 7995 704 87.9 globlastp 4625 wheat|12v3|TAU22442 7996 704 87.9 globlastp 4626 leymus|gb166|EG383427_P1 7997 704 87.4 globlastp 4627 pseudoroegneria|gb167|FF342320 7998 704 87.4 globlastp 4628 lolium|10v1|AU248479_P1 7999 704 86.8 globlastp 4629 rye|12v1|BE587862 8000 704 86.8 globlastp 4630 eucalyptus|11v2|CT983413_P1 8001 704 84.2 globlastp 4631 trigonella|11v1|SRR066194X122729 8002 704 84.2 globlastp 4632 rice|11v1|BE039706 8003 704 83.96 glotblastn 4633 euphorbia|11v1|SRR098678X164620_P1 8004 704 83.9 globlastp 4634 chickpea|11v1|GR390844 8005 704 83.6 globlastp 4635 chickpea|13v2|GR390844_P1 8005 704 83.6 globlastp 4636 oil_palm|11v1|EL691105_P1 8006 704 83.6 globlastp 4637 tomato|11v1|BG123164 8007 704 83.6 globlastp 4638 fraxinus|11v1|SRR058827.164804_T1 8008 704 83.33 glotblastn 4639 antirrhinum|gb166|AJ568560_P1 8009 704 83.3 globlastp 4640 primula|11v1|SRR098679X101388_P1 8010 704 83.3 globlastp 4641 medicago|12v1|AW127578_P1 8011 704 83.2 globlastp 4642 curcuma|10v1|DY388752_P1 8012 704 83.1 globlastp 4643 peanut|10v1|GO323872_P1 8013 704 83.1 globlastp 4644 olea|13v1|SRR014463X35572D1_T1 8014 704 82.87 glotblastn 4645 nicotiana_benthamiana|12v1|CN742663_P1 8015 704 82.2 globlastp 4646 eggplant|10v1|FS000347_P1 8016 704 82.2 globlastp 4647 lotus|09v1|BI418063_P1 8017 704 82.2 globlastp 4648 phalaenopsis|11v1|SRR125771.1037360_P1 8018 704 82.1 globlastp 4649 platanus|11v1|SRR096786X128388_P1 8019 704 82 globlastp 4650 hornbeam|12v1|SRR364455.120478_T1 8020 704 81.72 glotblastn 4651 blueberry|12v1|CF810435_P1 8021 704 81.7 globlastp 4652 fraxinus|11v1|SRR058827.121081_T1 8022 704 81.67 glotblastn 4653 orobanche|10v1|SRR023189S0019436_T1 8023 704 81.67 glotblastn 4654 onion|12v1|SRR073446X110681D1_P1 8024 704 81.6 globlastp 4655 tobacco|gb162|DV158342 8025 704 81.6 globlastp 4656 flax|11v1|EU828929_P1 8026 704 81.5 globlastp 4657 flax|11v1|JG090232_P1 8027 704 81.5 globlastp 4658 ambrosia|11v1|SRR346943.137299_P1 8028 704 81.4 globlastp 4659 cucurbita|11v1|FG227219XX1_P1 8029 704 81.4 globlastp 4660 phalaenopsis|11v1|SRR125771.1054625_T1 8030 704 81.32 glotblastn 4661 bean|12v2|CA896575_T1 8031 704 81.18 glotblastn 4662 bean|12v1|CA896575 8031 704 81.18 glotblastn 4663 aquilegia|10v2|JGIAC006472_T1 8032 704 81.11 glotblastn 4664 soybean|11v1|GLYMA06G04850 8033 704 81.11 glotblastn 4665 soybean|12v1|GLYMA06G04850_T1 8033 704 81.11 glotblastn 4666 tabernaemontana|11v1|SRR098689X124415 8034 704 81.11 glotblastn 4667 tragopogon|10v1|SRR020205S0035974 8035 704 81.11 glotblastn 4668 tobacco|gb162|CV021615 8036 704 81.1 globlastp 4669 olea|13v1|SRR014463X30554D1_P1 8037 704 81.1 globlastp 4670 pepper|12v1|BM059712_P1 8038 704 81 globlastp 4671 amorphophallus|11v2|SRR089351X125225_T1 8039 704 80.98 glotblastn 4672 grape|11v1|GSVIVT01009358001_P1 8040 704 80.9 globlastp 4673 cleome_spinosa|10v1|GR931673_T1 8041 704 80.87 glotblastn 4674 phalaenopsis|11v1|SRR125771.1037068XX1_T1 8030 704 80.77 glotblastn 4675 poppy|11v1|FE964711_P1 8042 704 80.7 globlastp 4676 cleome_spinosa|10v1|GR930987_P1 8043 704 80.6 globlastp 4677 clover|gb162|BB929026_P1 8044 704 80.6 globlastp 4678 ambrosia|11v1|SRR346935.316071_T1 8045 704 80.56 glotblastn 4679 centaurea|gb166|EH717726 8046 704 80.56 glotblastn 4680 cirsium|11v1|SRR346952.11256_T1 8047 704 80.56 glotblastn 4681 cowpea|12v1|FF387663_T1 8048 704 80.56 glotblastn 4682 ipomoea_batatas|10v1|DV034551_T1 8049 704 80.56 glotblastn 4683 poppy|11v1|SRR030259.103371_T1 8050 704 80.56 glotblastn 4684 poppy|11v1|SRR030260.169771_T1 8051 704 80.56 glotblastn 4685 thalictrum|11v1|SRR096787X108014 8052 704 80.56 glotblastn 4686 thalictrum|11v1|SRR096787X11261 8053 704 80.56 glotblastn 4687 vinca|11v1|SRR098690X110157 8054 704 80.56 glotblastn 4688 petunia|gb171|CV301011_P1 8055 704 80.5 globlastp 4689 solanum_phureja|09v1|SPHBG123164 8056 704 80.5 globlastp 4690 soybean|11v1|GLYMA04G04770 8057 704 80.43 glotblastn 4691 soybean|12v1|GLYMA04G04770_T1 8057 704 80.43 glotblastn 4692 beech|11v1|SRR006293.20456_P1 8058 704 80.4 globlastp 4693 poplar|10v1|AI163073 8059 704 80.4 globlastp 4694 poplar|13v1|AI162099_P1 8059 704 80.4 globlastp 4695 spruce|11v1|ES878106 8059 704 80.4 globlastp 4696 cannabis|12v1|SOLX00055197_T1 8060 704 80.33 glotblastn 4697 apple|11v1|CN444425_P1 8061 704 80.3 globlastp 4698 cucurbita|11v1|SRR091276X112897_P1 8062 704 80.3 globlastp 4699 euphorbia|11v1|BP958713_P1 8063 704 80.3 globlastp 4700 sunflower|12v1|CD848609 8064 704 80.3 globlastp 4701 sunflower|12v1|DY928392 8064 704 80.3 globlastp 4702 pigeonpea|11v1|SRR054580X108129_T1 8065 704 80.11 glotblastn 4703 valeriana|11v1|SRR099039X123814 8066 704 80.1 globlastp 4704 nicotiana_benthamiana|12v1|DV161035_T1 8067 704 80 glotblastn 4705 b_juncea|12v1|E6ANDIZ01BABOV_T1 8068 704 80 glotblastn 4706 clementine|11v1|CB292000_P1 8069 704 80 globlastp 4707 flaveria|11v1|SRR149229.140630_T1 8070 704 80 glotblastn 4708 maritime_pine|10v1|BX250460_T1 8071 704 80 glotblastn 4709 monkeyflower|10v1|DV210529 8072 704 80 glotblastn 4710 monkeyflower|12v1|DV210529_T1 8072 704 80 glotblastn 4711 olea|11v1|SRR014463.30554 8073 704 80 globlastp 4712 orange|11v1|CB292000_P1 8069 704 80 globlastp 4713 phyla|11v2|SRR099035X104250_T1 8074 704 80 glotblastn 4714 pine|10v2|AW056696_T1 8071 704 80 glotblastn 4715 potato|10v1|AJ487457_P1 8075 704 80 globlastp 4716 triphysaria|10v1|EX988218 8076 704 80 globlastp 4717 tripterygium|11v1|SRR098677X101252 8077 704 80 glotblastn 4718 maize|10v1|BM500443_P1 8078 705 92.8 globlastp 4719 sorghum|12v1|SB10G021930_P1 8079 705 91 globlastp 4720 maize|10v1|ZMCRP2V110874_P1 8080 707 98 globlastp 4721 sorghum|12v1|SB07G004810 8081 707 94.08 glotblastn 4722 rice|11v1|BI809598 8082 707 84.2 glotblastn 4723 rice|11v1|CB209742 8083 707 83.76 glotblastn 4724 rice|11v1|AU057895 8084 707 82.2 glotblastn 4725 foxtail_millet|11v3|PHY7SI009239M_T1 8085 707 81.79 glotblastn 4726 brachypodium|12v1|BRADI5G23367_T1 8086 707 80.86 glotblastn 4727 switchgrass|12v1|FE616344_T1 8087 707 80.59 glotblastn 4728 maize|10v1|T23354_T1 8088 707 80.37 glotblastn 4729 sorghum|12v1|SB10G028730 8089 710 84.1 globlastp 4730 soybean|11v1|GLYMA14G24660 8090 711 88.06 glotblastn 4731 soybean|12v1|GLYMA14G24660T2_P1 8091 711 86.4 globlastp 4732 brachypodium|12v1|BRADI4G29730_P1 8092 713 86.1 globlastp 4733 barley|12v1|BE411017_T1 8093 713 83.12 glotblastn 4734 switchgrass|gb167|DN145699 8094 713 80.1 globlastp 4735 rice|11v1|BI306619 8095 713 80 globlastp 4736 wheat|12v3|BE417065_P1 8096 715 91.8 globlastp 4737 rye|12v1|DRR001012.157648_P1 8097 715 91.3 globlastp 4738 wheat|12v3|AL823091 8098 719 95.2 globlastp 4739 rye|12v1|DRR001012.107133 8099 719 95.14 glotblastn 4740 brachypodium|12v1|BRADI3G37350_P1 8100 719 84.2 globlastp 4741 rice|11v1|AU108306 8101 719 80 globlastp 4742 wheat|12v3|BE488612 8102 721 92.7 globlastp 4743 rye|12v1|DRR001012.125660 8103 721 91.2 globlastp 4744 pseudoroegneria|gb167|FF340927 8104 721 90.8 globlastp 4745 wheat|12v3|CD863372 8105 725 96.4 globlastp 4746 wheat|12v3|AK330727 8106 725 96.3 globlastp 4747 wheat|12v3|SRR043326X28070D1 8107 725 95.93 glotblastn 4748 wheat|12v3|CA639363 8108 725 94.6 globlastp 4749 wheat|12v3|SRR073321X143332D1 8109 725 88.9 globlastp 4750 wheat|12v3|CD863371 8110 725 85.06 glotblastn 4751 rice|11v1|CA998145 8111 725 82.3 globlastp 4752 rye|12v1|DRR001012.117306 8112 727 96 globlastp 4753 wheat|12v3|BM134597 8113 727 94.1 globlastp 4754 brachypodium|12v1|BRADI3G50150_P1 8114 727 90.9 globlastp 4755 wheat|12v3|AL826717 8115 727 84.6 glotblastn 4756 rice|11v1|CK061379 8116 727 84.5 globlastp 4757 switchgrass|12v1|FE608601_P1 8117 727 83.6 globlastp 4758 switchgrass|12v1|FE623318_P1 8118 727 83.6 globlastp 4759 foxtail_millet|11v3|PHY7SI016281M_P1 8119 727 83.3 globlastp 4760 maize|10v1|AW066736_P1 8120 727 82.2 globlastp 4761 rye|12v1|DRR001013.102 8121 730 83.9 globlastp 4762 switchgrass|gb167|FE639307 8122 733 87.8 globlastp 4763 switchgrass|gb167|FL868802 8123 733 86.2 globlastp 4764 sorghum|12v1|SB07G026630 8124 733 83 globlastp 4765 millet|10v1|PMSLX0018649D1_T1 8125 735 80.11 glotblastn 4766 switchgrass|12v1|FL802295_P1 8126 736 87.5 globlastp 4767 switchgrass|12v1|FE638239_P1 8127 736 84.8 globlastp 4768 sugarcane|10v1|CA133855_P1 8128 736 80.5 globlastp 4769 maize|10v1|W49426_P1 8129 737 95.7 globlastp 4770 switchgrass|gb167|FE649778 8130 737 85.9 globlastp 4771 cenchrus|gb166|EB659527_P1 8131 738 84.9 globlastp 4772 sorghum|12v1|SB06G024550 8132 740 94.6 globlastp 4773 rice|11v1|BE040488 8133 740 87.5 globlastp 4774 rice|11v1|D39716 8134 740 81.8 globlastp 4775 rice|11v1|BE230101 8135 740 81.3 glotblastn 4776 barley|12v1|AJ432549_P1 8136 740 80.5 globlastp 4777 sorghum|12v1|SB03G002350 8137 742 89.86 glotblastn 4778 switchgrass|12v1|FL844034_T1 8138 742 84.29 glotblastn 4779 switchgrass|gb167|FL844034 8139 742 84.29 glotblastn 4780 switchgrass|12v1|FE603085_T1 8140 742 80.28 glotblastn 4781 maize|10v1|BM500226_P1 8141 745 80.2 globlastp 4782 switchgrass|12v1|FL754128_P1 8142 746 90.4 globlastp 4783 barley|12v1|DN155880_P1 8143 746 80 globlastp 4784 rice|11v1|BI807776 8144 746 80 globlastp 4785 maize|10v1|BM501045_P1 8145 748 94 globlastp 4786 sorghum|12v1|SB01G007850 8146 748 94 globlastp 4787 millet|10v1|EVO454PM001162_P1 8147 748 91.3 globlastp 4788 switchgrass|12v1|FL702906_P1 8148 748 89.5 globlastp 4789 rice|11v1|GFXAF141942X1 8149 748 87.6 globlastp 4790 sorghum|12v1|SB01G048260 8150 749 94.4 globlastp 4791 maize|10v1|AI491652_P1 8151 749 93.7 globlastp 4792 switchgrass|12v1|FE656148_P1 8152 749 87.4 globlastp 4793 foxtail_millet|11v3|PHY7SI035085M_P1 8153 749 87.4 globlastp 4794 switchgrass|12v1|FL696332_P1 8154 749 86.7 globlastp 4795 switchgrass|gb167|FE656148 8155 749 85.66 glotblastn 4796 rice|11v1|BI795865 8156 749 81.1 globlastp 4797 brachypodium|12v1|BRADI1G76321_P1 8157 749 80.4 globlastp 4798 brachypodium|12v1|BRADI1G76314_P1 8158 749 80 globlastp 4799 foxtail_millet|11v3|PHY7SI013180M_P1 8159 750 84.2 globlastp 4800 switchgrass|12v1|FL691835_P1 8160 750 83.3 globlastp 4801 sugarcane|10v1|CA073362 8161 751 84.31 glotblastn 4802 sorghum|12v1|SB02G024920 8162 751 84.06 glotblastn 4803 maize|10v1|DR795538_T1 8163 751 83.5 glotblastn 4804 foxtail_millet|11v3|PHY7SI029454M_P1 8164 754 80.7 globlastp 4805 foxtail_millet|11v3|PHY7SI030299M_P1 8165 756 80.1 globlastp Table 2: Provided are the homologous (e.g., orthologues) polypeptides and polynucleotides of the genes for increasing yield (e.g., oil yield, seed yield, fiber yield and/or quality), growth rate, vigor, photosynthetic capacity, biomass, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and fertilizer use efficiency genes of a plant which are listed in Table 1 above. Homology was calculated as % of identity over the aligned sequences. The query sequences were polynucleotide sequences SEQ ID NOs: 1-473; and polypeptide SEQ ID NOs: 474-760 and the subject sequences are protein sequences identified in the database based on greater than 80% global identity to the predicted translated sequences of the query nucleotide sequences or to the polypeptide sequences. P.N.” = polynucleotide; “P.P.” = polypeptide; “Algor.” = algorithm (used for sequence alignment and determination of percent homology); “Hom.”—homology; “iden.”—identity.

The output of the functional genomics approach described herein is a set of genes highly predicted to improve yield and/or other agronomic important traits such as growth rate, harvest index, leaf area, vigor, oil content, fiber yield and/or quality, biomass, photosynthetic capacity, growth rate, abiotic stress tolerance, nitrogen use efficiency, water use efficiency and fertilizer use efficiency of a plant by increasing their expression. Although each gene is predicted to have its own impact, modifying the mode of expression of more than one gene is expected to provide an additive or synergistic effect on the plant yield and/or other agronomic important yields performance. Altering the expression of each gene described here alone or set of genes together increases the overall yield and/or other agronomic important traits, hence expects to increase agricultural productivity.

Example 3 Production of Barley Transcriptome and High Throughput Correlation Analysis Using 44K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 47,500 Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 25 different Barley accessions were analyzed. Among them, 13 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739 (dot) html].

Experimental Procedures

Four tissues at different developmental stages [meristem, flowering spike, booting spike, stem], representing different plant characteristics, were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”.

For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 3 below.

TABLE 3 Barley transcriptome expression sets Expression Set Set ID booting spike at flowering stage 1 flowering spike at flowering stage 2 Meristem at flowering stage 3 stem at flowering stage 4 Table 3: Provided are the identification (ID) letters of each of the Barley expression sets.

Barley yield components and vigor related parameters assessment—13 Barley accessions in 4 repetitive blocks (named A, B, C, and D), each containing 4 plants per plot were grown at net house. Plants were phenotyped on a daily basis following the standard descriptor of barley (Table 4, below). Harvest was conducted while 50% of the spikes were dry to avoid spontaneous release of the seeds. Plants were separated to the vegetative part and spikes, of them, 5 spikes were threshed (grains were separated from the glumes) for additional grain analysis such as size measurement, grain count per spike and grain yield per spike. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih(dot)gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

TABLE 4 Barley standard descriptors Trait Parameter Range Description Growth habit Scoring 1-9 Prostrate (1) or Erect (9) Hairiness of Scoring P (Presence)/ Absence (1) or Presence (2) basal leaves A (Absence) Stem Scoring 1-5 Green (1), Basal only or pigmentation Half or more (5) Days to Days Days from sowing to Flowering emergence of awns Plant height Centimeter Height from ground level to (cm) top of the longest spike excluding awns Spikes per plant Number Terminal Counting Spike length Centimeter Terminal Counting 5 spikes (cm) per plant Grains per spike Number Terminal Counting 5 spikes per plant Vegetative dry Gram Oven-dried for 48 hours at weight 70° C. Spikes dry Gram Oven-dried for 48 hours at weight 30° C. Table 4.

At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected, and the following measurements were performed:

(i) Grains per spike—The total number of grains from 5 spikes that were manually threshed was counted. The average grain per spike was calculated by dividing the total grain number by the number of spikes.

(ii) Grain average size (cm)—The total grains from 5 spikes that were manually threshed were scanned and images were analyzed using the digital imaging system. Grain scanning was done using Brother scanner (model DCP-135), at the 200 dpi resolution and analyzed with Image J software. The average grain size was calculated by dividing the total grain size by the total grain number.

(iii) Grain average weight (mgr)—The total grains from 5 spikes that were manually threshed were counted and weight. The average weight was calculated by dividing the total weight by the total grain number.

(iv) Grain yield per spike (gr) (=seed yield of 5 spikes)—The total grains from 5 spikes that were manually threshed were weight. The grain yield was calculated by dividing the total weight by the spike number.

(v) Spike length analysis—The five chosen spikes per plant were measured using measuring tape excluding the awns.

(vi) Spike number analysis—The spikes per plant were counted.

Additional parameters were measured as follows: Growth habit scoring—At growth stage 10 (booting), each of the plants was scored for its growth habit nature. The scale that was used was 1 for prostate nature till 9 for erect.

Hairiness of basal leaves—At growth stage 5 (leaf sheath strongly erect; end of tillering), each of the plants was scored for its hairiness nature of the leaf before the last. The scale that was used was 1 for prostate nature till 9 for erect.

Plant height—At harvest stage (50% of spikes were dry), each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns.

Days to flowering—Each of the plants was monitored for flowering date. Days of flowering was calculated from sowing date till flowering date.

Stem pigmentation—At growth stage 10 (booting), each of the plants was scored for its stem color. The scale that was used was 1 for green till 5 for full purple.

Vegetative dry weight and spike yield—At the end of the experiment (50% of the spikes were dry) all spikes and vegetative material from plots within blocks A-D are collected. The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;

Spike yield per plant=total spike weight per plant (gr) after drying at 30° C. in oven for 48 hours.

TABLE 5 Barley correlated parameters (vectors) Correlated parameter with Correlation ID Grain weight (milligrams) 1 Grains size (mm²) 2 Grains per spike (numbers) 3 Growth habit (scores 1-9) 4 Hairiness of basal leaves (scoring 1-2) 5 Plant height (cm) 6 Seed yield of 5 spikes (gr) 7 Spike length (cm) 8 Spikes per plant (numbers) 9 Stem pigmentation (scoring 1-5) 10 Vegetative dry weight (gram) 11 Days to flowering (days) 12 Table 5. Provided are the Barley correlated parameters (vectors).

Experimental Results

13 different Barley accessions were grown and characterized for 12 parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 6 and 7 below. Subsequent correlation analysis between the various transcriptome expression sets (Table 3) and the average parameters was conducted. Follow, results were integrated to the database (Table 8 below).

TABLE 6 Measured parameters of correlation IDs in Barley accessions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 1 35.05 28.06 28.76 17.87 41.22 29.73 25.22 2 0.27 0.23 0.24 0.17 0.29 0.28 0.22 3 20.23 17.98 17.27 17.73 14.47 16.78 12.12 4 2.60 2.00 1.92 3.17 4.33 2.69 3.60 5 1.53 1.33 1.69 1.08 1.42 1.69 1.30 6 134.27 130.50 138.77 114.58 127.75 129.38 103.89 7 3.56 2.54 2.58 1.57 3.03 2.52 1.55 8 12.04 10.93 11.83 9.90 11.68 11.53 8.86 9 48.85 48.27 37.42 61.92 33.27 41.69 40.00 10 1.13 2.50 1.69 1.75 2.33 2.31 1.70 11 78.87 66.14 68.49 53.39 68.30 74.17 35.35 12 62.40 64.08 65.15 58.92 63.00 70.54 52.80 Table 6. Provided are the values of each of the parameters measured in Barley accessions according to the correlation identifications (see Table 5).

TABLE 7 Barley accessions, additional measured parameters Ecotype/ Treatment Line-8 Line-9 Line-10 Line-11 Line-12 Line-13 1 34.99 20.58 27.50 37.13 29.56 19.58 2 0.28 0.19 0.22 0.27 0.27 0.18 3 14.07 21.54 12.10 13.40 15.28 17.07 4 3.50 3.00 3.67 2.47 3.50 3.00 5 1.19 1.00 1.17 1.60 1.08 1.17 6 121.63 126.80 99.83 121.40 118.42 117.17 7 2.62 2.30 1.68 2.68 2.35 1.67 8 11.22 11.11 8.58 10.18 10.51 9.80 9 40.63 62.00 49.33 50.60 43.09 51.40 10 2.19 2.30 1.83 3.07 1.58 2.17 11 58.33 62.23 38.32 68.31 56.15 42.68 12 60.88 58.10 53.00 60.40 64.58 56.00 Table 7. Provided are the values of each of the parameters measured in Barley accessions according to the correlation identifications (see Table 5).

TABLE 8 Correlation between the expression level of the selected polynucleotides of the invention and their homologues in specific tissues or developmental stages and the phenotypic performance across Barley accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1018 0.71 1.44E−02 3 9 LYM1018 0.86 5.95E−04 3 3 LYM1018 0.79 3.73E−03 3 12 LYM1019 0.73 1.01E−02 1 2 LYM1019 0.71 1.48E−02 1 1 LYM1020 0.82 2.04E−03 3 9 LYM1024 0.73 1.58E−02 2 2 LYM1026 0.76 6.97E−03 3 10 LYM1027 0.83 1.63E−03 3 9 LYM1029 0.70 1.62E−02 1 2 LYM1029 0.71 1.37E−02 1 1 LYM1029 0.70 1.60E−02 1 7 LYM1029 0.72 1.31E−02 3 7 LYM1029 0.88 3.86E−04 3 11 LYM1030 0.79 3.61E−03 1 2 LYM1030 0.77 5.34E−03 1 1 LYM1030 0.74 9.84E−03 1 7 LYM1040 0.86 6.47E−04 1 1 LYM1040 0.85 8.84E−04 1 2 LYM1040 0.73 1.09E−02 1 5 LYM1040 0.84 1.09E−03 1 7 LYM1060 0.79 3.94E−03 1 6 LYM1040 0.76 6.56E−03 3 9 LYM1060 0.76 6.99E−03 1 7 LYM1051 0.72 1.94E−02 2 4 LYM1060 0.73 1.14E−02 1 3 LYM1060 0.78 4.36E−03 1 8 LYM1062 0.70 1.56E−02 3 9 LYM1060 0.74 9.49E−03 1 11 LYM1071 0.74 9.11E−03 1 4 LYM1060 0.78 4.38E−03 3 9 LYM1072 0.71 1.54E−02 1 9 LYM1074 0.71 1.52E−02 3 9 LYM1074 0.73 1.02E−02 1 9 LYM1071 0.83 1.65E−03 3 9 LYM1075 0.85 1.03E−03 3 9 LYM1072 0.83 1.39E−03 3 9 Table 8. Provided are the correlations (R) and p-values (P) between the expression levels of selected genes of some embodiments of the invention in various tissues or developmental stages (Expression sets) and the phenotypic performance in various yield (seed yield, oil yield, oil content), biomass, growth rate and/or vigor components [Correlation (Corr.) vector (Vec.) Expression (Exp.)] Corr. Vector = correlation vector specified in Tables 5, 6 and 7; Exp. Set = expression set specified in Table 3.

Example 4 Production of Sorghum Transcriptome and High Throughput Correlation Analysis with ABST Related Parameters Using 44K Sorghum Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 44,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield and NUE components or vigor related parameters, various plant characteristics of 17 different sorghum hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739(dot)html].

I. Correlation of Sorghum Varieties Across Ecotypes Grown Under Regular Growth Conditions, Severe Drought Conditions and Low Nitrogen Conditions

Experimental Procedures

17 Sorghum varieties were grown in 3 repetitive plots, in field. Briefly, the growing protocol was as follows:

1. Regular (normal, non-stress) growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols (370 liter per meter, fertilization of 14 units of 21% urea per entire growth period).

2. Drought conditions: sorghum seeds were sown in soil and grown under normal (non-stress) conditions until around 35 days from sowing, around stage V8 (eight green leaves are fully expanded, booting not started yet). At this point, irrigation was stopped, and severe drought stress was developed.

3. Low Nitrogen fertilization conditions: sorghum plants were fertilized with 50% less amount of nitrogen in the field than the amount of nitrogen applied in the regular growth treatment. All the fertilizer was applied before flowering.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each treatment. Tissues [Flag leaf, Flower meristem and Flower] from plants growing under normal conditions, severe drought stress and low nitrogen conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 9 below.

TABLE 9 Sorghum transcriptome expression sets Expression Set Set ID Flag leaf at flowering stage under drought growth conditions 1 Flag leaf at flowering stage under low nitrogen growth 2 conditions Flag leaf at flowering stage under normal growth conditions 3 Flower meristem at flowering stage under drought growth 4 conditions Flower meristem at flowering stage under low nitrogen 5 growth conditions Flower meristem at flowering stage under normal growth 6 conditions Flower at flowering stage under drought growth conditions 7 Flower at flowering stage under low nitrogen growth 8 conditions Flower at flowering stage under normal growth conditions 9 Taple 9: Provided are the sorghum transcriptome expression sets 1, 2, 3 and 4. Flag leaf = the leaf below the flower; Flower meristem = Apical meristem following panicle initiation; Flower = the flower at the anthesis day. Flower = are from plants grown under normal conditions. Expression set 4 derived from plants grown under drought conditions. The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the plant ‘Head’ and the following parameters were measured and collected:

Average Grain Area (cm²)—A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Upper and Lower Ratio Average of Grain Area, width, diameter and perimeter—Grain projection of area, width, diameter and perimeter were extracted from the digital images using open source package imagej (nih). Seed data was analyzed in plot average levels as follows:

Average of all seeds;

Average of upper 20% fraction—contained upper 20% fraction of seeds;

Average of lower 20% fraction—contained lower 20% fraction of seeds;

Further on, ratio between each fraction and the plot average was calculated for each of the data parameters.

At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system.

(i) Head Average Area (cm²)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

(ii) Head Average Length (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

(iii) Head Average width (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ width was measured from those images and was divided by the number of ‘Heads’.

(iv) Head Average perimeter (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ perimeter was measured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb(dot)nih(dot)gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Total Grain Weight/Head (gr.) (grain yield)—At the end of the experiment (plant ‘Heads’) heads from plots within blocks A-C were collected. 5 heads were separately threshed and grains were weighted, all additional heads were threshed together and weighted as well. The average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot). In case of 5 heads, the total grains weight of 5 heads was divided by 5.

FW Head/Plant gram—At the end of the experiment (when heads were harvested) total and 5 selected heads per plots within blocks A-C were collected separately. The heads (total and 5) were weighted (gr.) separately and the average fresh weight per plant was calculated for total (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr. based on 5 plants).

Plant height—Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Vegetative fresh weight and Heads—At the end of the experiment (when Inflorescence were dry) all Inflorescence and vegetative material from plots within blocks A-C were collected. The biomass and Heads weight of each plot was separated, measured and divided by the number of Heads.

Plant biomass (Fresh weight)—At the end of the experiment (when Inflorescence were dry) the vegetative material from plots within blocks A-C were collected. The plants biomass without the Inflorescence were measured and divided by the number of Plants.

FW Heads/(FW Heads+FW Plants)—The total fresh weight of heads and their respective plant biomass were measured at the harvest day. The heads weight was divided by the sum of weights of heads and plants.

Experimental Results

17 different sorghum varieties were grown and characterized for different parameters: The average for each of the measured parameter was calculated using the JMP software (Tables 11-12) and a subsequent correlation analysis between the various transcriptome sets (Table 9) and the average parameters, was conducted (Table 13). Results were then integrated to the database.

TABLE 10 Sorghum correlated parameters (vectors) Correlated parameter with Correlation ID Average Grain Area (cm²), Drought 1 Average Grain Area (cm²), Low N 2 Average Grain Area (cm²), Normal 3 FW − Head/Plant gr (based on plot), Drought 4 FW − Head/Plant gr (based on plot), Low N 5 FW − Head/Plant gr (based on plot), Normal 6 FW − Head/Plant gr (based on 5 plants), Low N 7 FW − Head/Plant gr (based on 5 plants), Normal 8 FW Heads/(FW Heads + FW Plants)(all plot), Drought 9 FW Heads/(FW Heads + FW Plants)(all plot), Low N 10 FW Heads/(FW Heads + FW Plants)(all plot), Normal 11 FW/Plant gr (based on plot), Drought 12 FW/Plant gr (based on plot), Low N 13 FW/Plant gr (based on plot), Normal 14 Final Plant Height (cm), Drought 15 Final Plant Height (cm), Low N 16 Final Plant Height (cm), Normal 17 Head Average Area (cm²), Drought 18 Head Average Area (cm²), Low N 19 Head Average Area (cm²), Normal 20 Head Average Length (cm), Drought 21 Head Average Length (cm), Low N 22 Head Average Length (cm), Normal 23 Head Average Perimeter (cm), Drought 24 Head Average Perimeter (cm), Low N 25 Head Average Perimeter (cm), Normal 26 Head Average Width (cm), Drought 27 Head Average Width (cm), Low N 28 Head Average Width (cm), Normal 29 Leaf SPAD 64 DPS (Days Post Sowing), Drought 30 Leaf SPAD 64 DPS (Days Post Sowing), Low N 31 Leaf SPAD 64 DPS (Days Post Sowing), Normal 32 Lower Ratio Average Grain Area, Low N 33 Lower Ratio Average Grain Area, Normal 34 Lower Ratio Average Grain Length, Low N 35 Lower Ratio Average Grain Length, Normal 36 Lower Ratio Average Grain Perimeter, Low N 37 Lower Ratio Average Grain Perimeter, Normal 38 Lower Ratio Average Grain Width, Low N 39 Lower Ratio Average Grain Width, Normal 40 Total grain weight/Head (based on plot) gr, Low N 41 Total grain weight/Head gr (based on 5 heads), Low N 42 Total grain weight/Head gr (based on 5 heads), Normal 43 Total grain weight/Head gr (based on plot), Normal 44 Total grain weight/Head gr,(based on plot) Drought 45 Upper Ratio Average Grain Area, Drought 46 Upper Ratio Average Grain Area, Low N 47 Upper Ratio Average Grain Area, Normal 48 [Grain Yield + plant biomass/SPAD 64 DPS], Normal 49 [Grain Yield + plant biomass/SPAD 64 DPS], Low N 50 [Grain yield/SPAD 64 DPS], Low N 51 [Grain yield/SPAD 64 DPS], Normal 52 [Plant biomass (FW)/SPAD 64 DPS], Drought 53 [Plant biomass (FW)/SPAD 64 DPS], Low N 54 [Plant biomass (FW)/SPAD 64 DPS], Normal 55 Table 10. Provided are the Sorghum correlated parameters (vectors). “gr.” = grams; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “normal” = standard growth conditions; “low N” = low nitrogen growth conditions; “drought” = drought growth conditions;

TABLE 11 Measured parameters in Sorghum accessions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 1 0.099 0.115 0.106 0.094 0.090 0.114 2 0.105 0.111 0.136 0.121 0.141 0.134 0.119 0.117 0.116 3 0.105 0.112 0.131 0.129 0.139 0.141 0.110 0.113 0.102 4 154.90 122.02 130.51 241.11 69.03 186.41 62.11 39.02 58.94 5 214.78 205.05 73.49 122.96 153.07 93.23 134.11 77.43 129.63 6 175.15 223.49 56.40 111.62 67.34 66.90 126.18 107.74 123.86 7 388.00 428.67 297.67 280.00 208.33 303.67 436.00 376.33 474.67 8 406.50 518.00 148.00 423.00 92.00 101.33 423.50 386.50 409.50 9 0.42 0.47 0.42 0.37 0.23 0.31 0.41 0.44 0.40 10 0.505 0.506 0.166 0.391 0.210 0.192 0.476 0.375 0.420 11 0.51 0.51 0.12 0.26 0.12 0.18 0.46 0.43 0.42 12 207.99 138.02 255.41 402.22 233.55 391.75 89.31 50.61 87.02 13 204.78 199.64 340.51 240.60 537.78 359.40 149.20 129.06 178.71 14 162.56 212.59 334.83 313.46 462.28 318.26 151.13 137.60 167.98 15 89.40 75.73 92.10 94.30 150.80 110.73 99.20 84.00 99.00 16 104.00 80.93 204.73 125.40 225.40 208.07 121.40 100.27 121.13 17 95.25 79.20 197.85 234.20 189.40 194.67 117.25 92.80 112.65 18 83.14 107.79 88.68 135.91 90.76 123.95 86.06 85.20 113.10 19 96.24 214.72 98.59 182.83 119.64 110.19 172.36 84.81 156.25 20 120.14 167.60 85.14 157.26 104.00 102.48 168.54 109.32 135.13 21 21.63 21.94 21.57 22.01 20.99 28.60 21.35 20.81 24.68 22 23.22 25.58 20.93 28.43 24.32 22.63 32.11 20.38 26.69 23 25.58 26.84 21.02 26.84 23.14 21.82 31.33 23.18 25.70 24 52.78 64.49 56.59 64.37 53.21 71.66 55.61 52.96 69.83 25 56.32 79.20 53.25 76.21 67.27 59.49 79.28 51.52 69.88 26 61.22 67.90 56.26 65.38 67.46 67.46 74.35 56.16 61.64 27 4.83 6.31 5.16 7.78 5.28 5.49 5.04 5.07 5.77 28 5.26 10.41 5.93 8.25 6.19 6.12 6.80 5.25 7.52 29 5.97 7.92 4.87 7.43 5.58 5.88 6.78 5.99 6.62 30 40.58 40.88 45.01 42.30 45.24 40.56 44.80 45.07 40.65 31 38.33 38.98 42.33 40.90 43.15 39.85 42.68 43.31 39.01 32 43.01 . 43.26 44.74 45.76 41.61 45.21 45.14 43.03 33 0.815 0.770 0.810 0.793 0.780 0.799 0.834 0.788 0.806 34 0.825 0.740 0.778 0.802 0.697 0.699 0.827 0.805 0.841 35 0.910 0.900 0.921 0.898 0.908 0.926 0.918 0.890 0.901 36 0.914 0.884 0.921 0.908 0.890 0.877 0.913 0.903 0.920 37 0.901 0.884 0.915 0.897 0.919 0.918 0.916 0.891 0.898 38 0.914 0.869 0.913 0.948 0.902 0.915 0.913 0.910 0.918 39 0.901 0.852 0.893 0.880 0.863 0.871 0.910 0.888 0.899 40 0.908 0.833 0.850 0.874 0.788 0.799 0.904 0.893 0.915 41 25.95 30.57 19.37 35.62 25.18 22.18 49.96 27.48 51.12 42 50.27 50.93 36.13 73.10 37.87 36.40 71.67 35.00 76.73 43 47.40 46.30 28.37 70.40 32.15 49.23 63.45 44.45 56.65 44 31.12 26.35 18.72 38.38 26.67 28.84 47.67 31.00 39.99 45 22.11 16.77 9.19 104.44 3.24 22.00 9.97 18.58 29.27 46 1.31 1.19 1.29 1.46 1.21 1.21 47 1.18 1.31 1.11 1.21 1.19 1.18 1.16 1.23 1.17 48 1.22 1.30 1.13 1.14 1.16 1.15 1.19 1.23 1.25 49 4.50 8.17 7.87 10.68 8.34 4.40 3.74 4.83 3.67 50 6.02 5.91 8.50 6.75 13.05 9.58 4.67 3.61 5.89 51 0.68 0.78 0.46 0.87 0.58 0.56 1.17 0.63 1.31 52 3.78 7.74 7.01 10.10 7.65 3.34 3.05 3.90 2.83 53 5.13 3.38 5.67 9.51 5.16 9.66 1.99 1.12 2.14 54 5.34 5.12 8.05 5.88 12.46 9.02 3.50 2.98 4.58 55 0.72 0.43 0.86 0.58 0.69 1.05 0.69 0.93 0.84 Table 11: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (ecotype) under normal, low nitrogen and drought conditions. Growth conditions are specified in the experimental procedure section.

TABLE 12 Additional measured parameters in Sorghum accessions Ecotype/ Treatment Line-10 Line-11 Line-12 Line-13 Line-14 Line-15 Line-16 Line-17 2 0.129 0.131 0.120 0.116 0.115 0.107 0.121 0.109 3 0.118 0.121 0.111 0.117 0.108 0.105 0.110 0.105 4 76.37 33.47 42.20 41.53 131.67 60.84 44.33 185.44 5 99.83 76.95 84.25 92.24 138.83 113.32 95.50 129.49 6 102.75 82.33 77.59 91.17 150.44 109.10 107.58 130.88 7 437.67 383.00 375.00 425.00 434.00 408.67 378.50 432.00 8 328.95 391.00 435.75 429.50 441.00 415.75 429.50 428.50 9 0.443 0.472 0.468 0.484 0.354 0.349 0.231 0.327 10 0.441 0.429 0.387 0.438 0.439 0.442 0.430 0.417 11 0.44 0.46 0.45 0.45 0.51 0.46 0.44 0.39 12 120.43 37.21 48.18 44.20 231.60 116.01 123.08 342.50 13 124.27 101.33 132.12 117.90 176.99 143.67 126.98 180.45 14 128.97 97.62 99.32 112.24 157.42 130.55 135.66 209.21 15 92.20 81.93 98.80 86.47 99.60 83.00 83.53 92.30 16 94.53 110.00 115.07 104.73 173.67 115.60 138.80 144.40 17 97.50 98.00 100.00 105.60 151.15 117.10 124.45 126.50 18 100.79 80.41 126.89 86.41 92.29 77.89 76.93 19 136.71 137.70 96.54 158.19 163.95 138.39 135.46 165.64 20 169.03 156.10 112.14 154.74 171.70 168.51 162.51 170.46 21 24.28 21.95 24.98 19.49 20.42 16.81 18.88 22 26.31 25.43 23.11 27.87 28.88 27.64 25.52 30.33 23 28.82 28.13 22.97 28.09 30.00 30.54 27.17 29.26 24 65.14 55.27 69.06 53.32 56.29 49.12 51.88 25 66.17 67.37 57.90 70.61 73.76 66.87 65.40 75.97 26 71.40 68.56 56.44 67.79 71.54 78.94 67.03 74.11 27 5.37 4.66 6.35 5.58 5.76 5.86 5.10 28 6.59 6.85 5.32 7.25 7.19 6.27 6.57 6.82 29 7.42 6.98 6.19 7.02 7.18 7.00 7.39 7.35 30 45.43 42.58 44.18 44.60 42.41 43.25 40.30 40.75 31 42.71 40.08 43.98 45.44 44.75 42.58 43.81 46.73 32 45.59 44.83 45.33 46.54 43.99 45.09 45.14 43.13 33 0.77 0.741 0.804 0.788 0.823 0.801 0.809 0.807 34 0.79 0.765 0.803 0.806 0.821 0.814 0.818 0.817 35 0.91 0.886 0.897 0.894 0.911 0.888 0.892 0.901 36 0.92 0.893 0.913 0.907 0.911 0.904 0.903 0.913 37 0.91 0.895 0.903 0.896 0.914 0.894 0.896 0.897 38 0.93 0.911 0.916 0.904 0.912 0.905 0.909 0.905 39 0.86 0.842 0.897 0.887 0.908 0.899 0.902 0.897 40 0.85 0.863 0.885 0.898 0.905 0.910 0.902 0.899 41 36.84 29.45 26.70 29.42 51.12 37.04 39.85 41.78 42 57.58 42.93 36.47 68.60 71.80 49.27 43.87 52.07 43 60.00 45.45 58.19 70.60 70.10 53.95 59.87 52.65 44 38.36 32.10 32.69 32.79 51.53 35.71 38.31 42.44 45 10.45 14.77 12.86 18.24 11.60 18.65 16.36 47 1.22 1.24 1.19 1.23 1.16 1.34 1.21 1.21 48 1.24 1.32 1.22 1.18 1.18 1.22 1.25 1.22 49 2.89 2.91 3.12 4.75 3.69 3.85 5.84 50 3.77 3.26 3.61 3.24 5.10 4.25 3.81 4.76 51 0.86 0.73 0.61 0.65 1.14 0.87 0.91 0.89 52 2.18 2.19 2.41 3.58 2.90 3.01 4.85 53 2.65 0.87 1.09 0.99 5.46 2.68 3.05 8.40 54 2.91 2.53 3.00 2.60 3.96 3.38 2.90 3.86 55 0.72 0.72 0.70 1.17 0.79 0.85 0.98 Table 12: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (ecotype) under normal, low nitrogen and drought conditions. Growth conditions are specified in the experimental procedure section.

TABLE 13 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal or abiotic stress conditions across Sorghum accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1195 0.81 8.27E−03 9 55 LYM1195 0.74 1.41E−02 5 2 LYM1196 0.78 7.18E−03 6 3 LYM1196 0.82 3.74E−03 5 2 LYM1201 0.72 1.84E−02 6 40 LYM1201 0.83 2.97E−03 6 36 LYM1201 0.77 8.83E−03 6 34 LYM1201 0.96 1.10E−05 5 41 LYM1201 0.95 3.28E−05 5 51 LYM1201 0.71 2.07E−02 5 16 LYM1201 0.76 1.71E−02 3 55 LYM1201 0.74 1.49E−02 1 53 LYM1201 0.74 1.51E−02 1 12 LYM1202 0.73 1.57E−02 5 2 LYM1204 0.82 3.49E−03 6 6 LYM1204 0.85 1.65E−03 6 14 LYM1204 0.89 6.05E−04 3 6 LYM1204 0.91 2.44E−04 3 14 LYM1205 0.80 5.08E−03 6 52 LYM1205 0.83 3.05E−03 6 49 LYM1205 0.79 6.92E−03 6 8 LYM1205 0.71 2.25E−02 8 5 LYM1205 0.75 1.32E−02 8 50 LYM1205 0.84 2.13E−03 8 35 LYM1205 0.73 1.57E−02 3 3 LYM1205 0.73 2.41E−02 7 27 LYM1205 0.75 1.92E−02 7 24 LYM1206 0.72 1.99E−02 2 47 LYM1206 0.74 1.52E−02 8 35 LYM1206 0.71 2.16E−02 8 37 LYM1206 0.91 5.65E−04 3 52 LYM1206 0.79 6.87E−03 3 6 LYM1206 0.89 1.48E−03 3 49 LYM1206 0.71 2.27E−02 3 8 LYM1207 0.71 2.22E−02 6 44 LYM1207 0.70 2.37E−02 2 47 LYM1207 0.83 3.18E−03 5 5 LYM1207 0.73 1.67E−02 5 7 LYM1207 0.86 1.54E−03 5 50 LYM1207 0.78 7.25E−03 5 54 LYM1207 0.79 6.59E−03 5 10 LYM1207 0.76 1.09E−02 5 13 LYM1208 0.80 5.70E−03 9 3 LYM1208 0.76 1.16E−02 2 47 LYM1208 0.76 1.65E−02 3 52 LYM1208 0.80 9.89E−03 3 49 LYM1209 0.87 1.20E−03 6 3 LYM1209 0.71 2.03E−02 2 47 LYM1209 0.85 1.83E−03 8 35 LYM1209 0.83 3.13E−03 8 37 LYM1209 0.77 9.60E−03 5 2 LYM1210 0.89 5.18E−04 6 3 LYM1211 0.74 1.48E−02 6 3 LYM1211 0.72 1.91E−02 2 41 LYM1211 0.84 2.59E−03 2 16 LYM1211 0.81 4.89E−03 4 30 LYM1211 0.70 2.34E−02 5 2 LYM1211 0.87 2.33E−03 1 18 LYM1211 0.77 1.44E−02 1 27 LYM1211 0.90 1.01E−03 1 24 LYM1211 0.71 3.24E−02 1 21 LYM1212 0.75 1.29E−02 6 3 LYM1212 0.79 1.14E−02 3 52 LYM1212 0.84 4.17E−03 3 49 LYM1212 0.75 1.31E−02 1 30 LYM1213 0.72 1.94E−02 3 8 LYM1213 0.74 1.48E−02 1 4 LYM1214 0.73 1.71E−02 6 40 LYM1214 0.72 1.77E−02 6 34 LYM1214 0.70 2.29E−02 2 47 LYM1214 0.72 1.99E−02 4 53 LYM1214 0.71 2.10E−02 4 12 LYM1214 0.76 1.13E−02 5 33 LYM1239 0.71 2.13E−02 9 17 LYM1239 0.78 8.44E−03 9 44 LYM1239 0.90 4.03E−04 2 16 LYM1239 0.80 5.13E−03 4 30 LYM1239 0.88 8.34E−04 8 37 LYM1239 0.71 2.08E−02 3 44 Table 13. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Flag leaf, Flower meristem, stem and Flower; Expression sets (Exp)] and the phenotypic performance in various yield, biomass, growth rate and/or vigor components [Correlation vector (corr.)] under stress conditions or normal conditions across Sorghum accessions. P = p value.

II. Correlation of Sorghum Varieties Across Ecotype Grown Under Salinity Stress and Cold Stress Conditions

Sorghum vigor related parameters under 100 mM NaCl and low temperature (10±2° C.)—Ten Sorghum varieties were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Sorghum seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hogland solution), low temperature (10±2° C. in the presence of Full Hogland solution) or at Normal growth solution [Full Hogland solution at 28±2° C.].

Full Hogland solution consists of: KNO₃—0.808 grams/liter, MgSO₄—0.12 grams/liter, KH₂PO₄—0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8].

All 10 selected Sorghum varieties were sampled per each treatment. Two tissues [leaves and roots] growing at 100 mM NaCl, low temperature (10±2° C.) or under Normal conditions (full Hogland at a temperature between 28±2° C.) were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”.

TABLE 14 Sorghum transcriptome expression sets Expression Set Set ID root at vegetative stage (V4-V5) under cold conditions 1 root vegetative stage (V4-V5) under normal conditions 2 root vegetative stage (V4-V5) under low nitrogen conditions 3 root vegetative stage (V4-V5) under salinity conditions 4 vegetative meristem at vegetative stage (V4-V5) 5 under cold conditions vegetative meristem at vegetative stage (V4-V5) 6 under low nitrogen conditions vegetative meristem at vegetative stage (V4-V5) 7 under salinity conditions vegetative meristem at vegetative stage (V4-V5) 8 under normal conditions Table 14: Provided are the Sorghum transcriptome expression sets. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen.

Experimental Results

10 different Sorghum varieties were grown and characterized for the following parameters: “Leaf number Normal”=leaf number per plant under normal conditions (average of five plants); “Plant Height Normal”=plant height under normal conditions (average of five plants); “Root DW 100 mM NaCl”—root dry weight per plant under salinity conditions (average of five plants); The average for each of the measured parameter was calculated using the JMP software and values are summarized in Table 16 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters were conducted (Table 17). Results were then integrated to the database.

TABLE 15 Sorghum correlated parameters (vectors) Correlated parameter with Correlation ID DW Root/Plant-100 mM NaCl (g) 1 DW Root/Plant-Cold (g) 2 DW Root/Plant-Low Nitrogen (g) 3 DW Root/Plant-Normal (g) 4 DW Shoot/Plant-Low Nitrogen (g) 5 DW Shoot/Plant-100 mM NaCl (g) 6 DW Shoot/Plant-Cold (g) 7 DW Shoot/Plant-Normal (g) 8 Leaf number TP1-Cold 9 Leaf number TP2-Cold 10 Leaf number TP3-Cold 11 Low N-total biomass (g) 12 Low N-Shoot/Root 13 Low N-roots DW (g) 14 Low N-shoots DW (g) 15 Low N-percent-root biomass compared to normal 16 Low N-percent-shoot biomass compared to normal 17 Low N-percent-total biomass reduction 18 compared to normal N level/Leaf [Low Nitrogen] 19 N level/Leaf [100 mM NaCl] 20 N level/Leaf [Cold] 21 N level/Leaf [Normal] 22 Normal-Shoot/Root (g) 23 Normal-roots DW (g) 24 Normal-shoots DW (g) 25 Normal-total biomass (g) 26 Plant Height TP1-Cold (cm) 27 Plant Height TP2-Cold (cm) 28 RGR Leaf Num Normal 29 Root Biomass [DW-gr.]/SPAD [100 mM NaCl] 30 Root Biomass [DW-gr.]/SPAD [Cold] 31 Root Biomass [DW-gr.]/SPAD [Low Nitrogen] 32 Root Biomass [DW-gr.]/SPAD [Normal] 33 SPAD-Cold 34 SPAD-Low Nitrogen 35 SPAD-Normal 36 SPAD 100-mM NaCl 37 Shoot Biomass [DW-gr.]/SPAD [100 mM NaCl] 38 Shoot Biomass [DW-gr.]/SPAD [Cold] 39 Shoot Biomass [DW-gr.]/SPAD [Low Nitrogen] 40 Shoot Biomass [DW-gr.]/SPAD [Normal] 41 Total Biomass; Root + Shoot [DW-gr.]/SPAD 42 [100 mM NaCl] Total Biomass; Root + Shoot [DW-gr.]/SPAD 43 [Cold] Total Biomass; Root + Shoot [DW-gr.]/SPAD 44 [Low Nitrogen] Total Biomass; Root + Shoot [DW-gr.]/SPAD 45 [Normal] Table 15: Provided are the Sorghum correlated parameters. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen.

TABLE 16 Sorghum accessions, measured parameters Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 1 0.05 0.10 0.12 0.07 0.08 0.08 0.14 0.10 0.16 0.14 2 0.07 0.11 0.16 0.09 0.08 0.11 0.14 0.13 0.11 0.14 3 0.04 0.11 0.20 0.10 0.08 0.09 0.13 0.09 0.09 0.09 4 0.05 0.13 0.17 0.10 0.11 0.12 0.14 0.12 0.10 0.11 5 0.08 0.19 0.33 0.16 0.16 0.16 0.26 0.20 0.13 0.18 6 0.09 0.19 0.20 0.14 0.13 0.13 0.15 0.19 0.10 0.12 7 0.08 0.15 0.19 0.11 0.13 0.16 0.15 0.15 0.11 0.14 8 0.101 0.236 0.313 0.158 0.194 0.188 0.241 0.244 0.185 0.242 9 3.00 3.00 3.50 3.17 3.40 3.20 3.13 3.07 3.07 3.00 10 3.90 4.13 4.63 4.17 4.27 4.23 4.20 4.30 4.17 4.00 11 4.73 5.33 5.43 5.50 5.33 5.07 4.50 5.40 5.37 5.18 12 27.53 64.12 115.23 58.02 52.22 35.10 84.57 63.73 47.03 60.00 13 1.87 1.71 1.73 1.57 2.10 1.81 2.06 2.10 1.50 2.00 14 9.65 23.54 43.88 22.58 16.89 12.44 28.19 20.53 18.76 20.09 15 17.88 40.59 71.35 35.44 35.33 22.66 56.38 43.20 28.27 39.91 16 84.53 80.95 117.00 100.52 72.54 71.78 93.47 76.05 86.82 80.51 17 81.57 79.16 104.75 103.50 83.71 83.22 107.69 81.39 70.30 75.86 18 82.58 79.81 109.10 102.32 79.74 78.77 102.49 79.59 76.07 77.36 19 6.89 6.57 6.31 7.45 6.89 5.87 6.15 6.05 7.68 6.74 20 8.18 8.50 6.12 6.98 8.49 6.92 7.76 7.08 8.60 8.17 21 6.05 5.68 4.98 5.87 5.30 5.90 7.21 5.30 5.91 5.70 22 5.01 5.00 4.82 5.02 4.31 4.29 5.37 4.25 5.87 5.53 23 1.98 1.94 1.90 1.59 1.81 1.58 1.76 1.99 1.89 2.20 24 0.86 2.19 2.83 1.69 1.76 1.96 2.27 2.04 1.09 1.88 25 1.65 3.87 5.14 2.58 3.18 3.08 3.95 4.00 2.02 3.97 26 2.51 6.06 7.96 4.28 4.94 5.04 6.22 6.04 3.11 5.85 27 6.50 8.77 10.40 6.80 9.03 9.00 7.97 9.17 6.50 7.23 28 11.17 15.87 18.43 12.20 16.03 14.63 14.60 17.27 13.43 13.91 29 0.155 0.186 0.159 0.173 0.171 0.168 0.174 0.171 0.174 0.204 30 0.002 0.003 0.004 0.002 0.002 0.003 0.004 0.003 0.005 0.004 31 0.002 0.004 0.006 0.003 0.003 0.004 0.004 0.004 0.003 0.005 32 0.002 0.004 0.007 0.003 0.003 0.003 0.005 0.003 0.003 0.003 33 0.002 0.005 0.006 0.004 0.004 0.005 0.005 0.005 0.003 0.003 34 28.62 30.31 27.04 32.28 28.28 29.89 32.47 28.63 31.71 29.56 35 26.88 28.02 29.64 31.52 29.61 26.82 28.48 28.21 30.48 27.63 36 26.70 29.33 29.86 29.09 24.98 24.62 30.79 25.50 32.89 33.54 37 32.73 35.14 27.97 30.93 34.53 29.99 32.09 31.86 32.51 34.32 38 0.003 0.005 0.007 0.004 0.004 0.004 0.005 0.006 0.003 0.004 39 0.003 0.005 0.007 0.003 0.005 0.006 0.005 0.005 0.004 0.005 40 0.003 0.007 0.011 0.005 0.005 0.006 0.009 0.007 0.004 0.007 41 0.004 0.008 0.010 0.005 0.008 0.008 0.008 0.010 0.006 0.007 42 0.004 0.008 0.012 0.007 0.006 0.007 0.009 0.009 0.008 0.008 43 0.005 0.009 0.013 0.006 0.008 0.009 0.009 0.010 0.007 0.009 44 0.005 0.011 0.018 0.008 0.008 0.009 0.014 0.010 0.007 0.010 45 0.006 0.013 0.016 0.009 0.012 0.012 0.012 0.014 0.009 0.011 Table 16: Provided are the measured parameters under 100 mM NaCl and low temperature (8-10° C.) conditions of Sorghum accessions (Seed ID) according to the Correlation ID numbers (described in Table 15 above)

TABLE 17 Correlation between the expression level of selected genes of some embodiments of the invention in roots and the phenotypic performance under normal or abiotic stress conditions across Sorghum accessions Gene P Exp. Corr. Gene P Exp. Corr. Name R value set Set ID Name R value set Set ID LYM1195 0.80 5.68E−03 1 34 LYM1196 0.71 3.36E−02 7 42 LYM1201 0.75 2.02E−02 6 35 LYM1204 0.93 2.01E−03 3 35 LYM1204 0.89 6.50E−03 3 19 LYM1204 0.80 9.81E−03 6 35 LYM1207 0.87 1.10E−02 3 35 LYM1207 0.73 2.43E−02 5 7 LYM1207 0.76 1.76E−02 5 27 LYM1207 0.82 6.91E−03 5 28 LYM1207 0.77 1.53E−02 5 10 LYM1208 0.73 2.58E−02 6 32 LYM1208 0.74 2.36E−02 6 14 LYM1208 0.74 2.36E−02 6 3 LYM1208 0.71 3.05E−02 6 12 LYM1212 0.75 1.99E−02 8 29 LYM1212 0.72 1.84E−02 1 11 LYM1213 0.71 3.22E−02 2 22 LYM1213 0.81 7.93E−03 5 27 LYM1213 0.73 2.65E−02 5 28 LYM1213 0.75 2.01E−02 5 10 LYM1214 0.71 7.54E−02 3 17 LYM1214 0.81 7.60E−03 5 10 Table 17. Provided are the correlations (R) between the expression levels yield improving genes and their homologues in various tissues [Expression sets (Exp)] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector)] under abiotic stress conditions (salinity) or normal conditions across Sorghum accessions. Corr.—Correlation vector as described hereinabove (Table 15). P = p value.

Example 5 Production of Maize Transcriptome and High Throughput Correlation Analysis Using 60K Maize Oligonucleotide Micro-Array

To produce a high throughput correlation analysis, the present inventors utilized a Maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 60K Maize genes and transcripts designed based on data from Public databases (Example 1). To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 12 different Maize hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739(dot)html].

Experimental Procedures

Five tissues at different developmental stages including Ear (flowering -R1), leaf (flowering -R1), Leaf Grain from the basal ear part, Grain from the distal ear, representing different plant characteristics, were sampled and RNA was extracted as described in “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 18 below.

TABLE 18 Tissues used for Maize transcriptome expression sets Expression Set Set ID Ear under normal conditions at reproductive stage: R1-R2 1 Ear under normal conditions at reproductive stage: R3-R4 2 Internode under normal conditions at vegetative stage: V2-V3 3 Internode under normal conditions at reproductive stage: R1-R2 4 Internode under normal conditions at vegetative stage: R3-R4 5 Leaf under normal conditions at vegetative stage: V2-V3 6 Leaf under normal conditions at reproductive stage: R1-R2 7 Grain distal under normal conditions at reproductive stage: R4-R5 8 Table 18: Provided are the identification (ID) number of each of the Maize expression sets

The following parameters were collected:

Grain Area (cm²)—At the end of the growing period the grains were separated from the ear. A sample of −200 grains were weight, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of −200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.

Ear Area (cm²)—At the end of the growing period 6 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of Ears.

Ear Length and Ear Width (cm)—At the end of the growing period 6 ears were photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

Filled per Whole Ear—it was calculated as the length of the ear with grains out of the total ear.

Percent Filled Ear—At the end of the growing period 6 ears were photographed and images were processed using the below described image processing system. The percent filled Ear grain was the ear with grains out of the total ear and was measured from those images and was divided by the number of Ears.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb(dot)nih(dot)gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Normalized Grain Weight per plant (gr.)(yield)—At the end of the experiment all ears from plots within blocks A-C were collected. 6 ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The grain weight was normalized using the relative humidity to be 0%. The normalized average grain weight per ear was calculated by dividing the total normalized grain weight by the total number of ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.

Ear FW (gr.)—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks A-C were collected separately. The plants with (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for total (Ear FW per plot) and for 6 (Ear FW per plant).

Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located.

Leaf number per plant—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.

Relative Growth Rate—RGR of leaf number was performed using Formula VIII above (measured in grams per day).

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Dry weight per plant—At the end of the experiment when all vegetative material from plots within blocks A-C were collected, weight and divided by the number of plants.

Ear diameter [cm]—The diameter of the ear at the mid of the ear was measured using a ruler.

Cob diameter [cm]—The diameter of the cob without grains was measured using a ruler.

Kernel Row Number per Ear—The number of rows in each ear was counted. The average of 6 ears per plot was calculated.

Leaf area index [LAI]=total leaf area of all plants in a plot. Measurement was performed using a Leaf area-meter.

Yield/LAI [kg]—is the ratio between total grain yields and total leaf area index.

TABLE 19 Maize correlated parameters (vectors) Correlated parameter with Correlation ID Cob Diameter [mm] 1 DW per Plant based on 6 [gr] 2 Ear Area [cm²] 3 Ear FW per Plant based on 6 [gr] 4 Ear Height [cm] 5 Ear Length [cm] 6 Ear Width [cm] 7 Ears FW per plant based on all [gr] 8 Filled per Whole Ear [value] 9 Grain Area [cm²] 10 Grain Length [cm] 11 Grain Width [cm] 12 Growth Rate Leaf Num [gr/day] 13 Kernel Row Number per Ear 14 Leaf Number per Plant 15 Normalized Grain Weight per Plant based on all [gr] 16 Normalized Grain Weight per plant based on 6 [gr] 17 Percent Filled Ear 18 Plant Height per Plot [cm] 19 SPAD R1 20 SPAD R2 21

Twelve maize varieties were grown, and characterized for parameters, as described above. The average for each parameter was calculated using the JMP software, and values are summarized in Tables 20-21 below. Subsequent correlation between the various transcriptome sets for all or sub set of lines was done by the bioinformatic unit and results were integrated into the database (Table 22 below).

TABLE 20 Measured parameters in Maize Hybrid Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 28.96 25.08 28.05 25.73 28.72 25.78 2 657.50 491.67 641.11 580.56 655.56 569.44 3 85.06 85.84 90.51 95.95 91.62 72.41 4 245.83 208.33 262.22 263.89 272.22 177.78 5 135.17 122.33 131.97 114.00 135.28 94.28 6 19.69 19.05 20.52 21.34 20.92 18.23 7 5.58 5.15 5.67 5.53 5.73 5.23 8 278.19 217.50 288.28 247.88 280.11 175.84 9 0.916 0.922 0.927 0.917 0.908 0.950 10 0.753 0.708 0.755 0.766 0.806 0.713 11 1.167 1.092 1.180 1.205 1.228 1.123 12 0.810 0.814 0.803 0.803 0.824 0.803 13 0.283 0.221 0.281 0.269 0.306 0.244 14 16.17 14.67 16.20 15.89 16.17 15.17 15 12.00 11.11 11.69 11.78 11.94 12.33 16 153.90 135.88 152.50 159.16 140.46 117.14 17 140.68 139.54 153.67 176.98 156.61 119.67 18 80.62 86.76 82.14 92.71 80.38 82.76 19 278.08 260.50 275.13 238.50 286.94 224.83 20 51.67 56.41 53.55 55.21 55.30 59.35 21 54.28 57.18 56.01 59.68 54.77 59.14 Table 20.

TABLE 21 Measured parameters in Maize Hybrid additional parameters Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 26.43 25.19 26.67 2 511.11 544.44 574.17 522.22 3 74.03 76.53 55.20 95.36 4 188.89 197.22 141.11 261.11 5 120.94 107.72 60.44 112.50 6 19.02 18.57 16.69 21.70 7 5.22 5.33 4.12 5.58 8 192.47 204.70 142.72 264.24 9 0.873 0.939 0.80 0.96 10 0.714 0.753 0.50 0.76 11 1.139 1.134 0.92 1.18 12 0.791 0.837 0.67 0.81 13 0.244 0.266 0.19 0.30 14 16.00 14.83 14.27 15.39 15 12.44 12.22 9.28 12.56 16 123.24 131.27 40.84 170.66 17 119.69 133.51 54.32 173.23 18 73.25 81.06 81.06 91.60 19 264.44 251.61 163.78 278.44 20 58.48 55.88 52.98 53.86 59.75 49.99 21 57.99 60.36 54.77 51.39 61.14 53.34 Table 21.

TABLE 22 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across maize varieties Gene P Exp. Corr. Gene P Exp. Corr. Name R value set Set ID Name R value set Set ID LYM1129 0.74 9.31E−02 2 2 LYM1130 0.71 4.65E−02 5 14 LYM1130 0.80 1.82E−02 5 13 LYM1130 0.76 2.83E−02 5 11 LYM1130 0.85 3.30E−02 2 3 LYM1130 0.72 1.04E−01 2 16 LYM1130 0.72 1.09E−01 2 13 LYM1130 0.80 5.77E−02 2 11 LYM1130 0.78 6.72E−02 2 6 LYM1130 0.82 4.41E−02 2 7 LYM1130 0.75 8.40E−02 2 8 LYM1130 0.82 4.40E−02 2 4 LYM1130 0.83 4.19E−02 2 17 LYM1131 0.78 3.69E−02 4 5 LYM1131 0.78 4.01E−02 7 3 LYM1131 0.73 6.39E−02 7 16 LYM1131 0.86 1.37E−02 7 5 LYM1131 0.75 5.46E−02 7 17 LYM1131 0.75 5.29E−02 1 10 LYM1131 0.78 3.71E−02 1 5 LYM1131 0.72 7.06E−02 1 7 LYM1131 0.74 5.64E−02 1 12 LYM1131 0.83 1.10E−02 8 1 LYM1131 0.77 2.56E−02 8 14 LYM1131 0.83 1.15E−02 8 13 LYM1131 0.80 1.81E−02 8 11 LYM1131 0.71 4.81E−02 8 10 LYM1131 0.78 2.17E−02 8 2 LYM1131 0.72 4.42E−02 8 7 LYM1131 0.72 2.91E−02 3 14 LYM1132 0.81 1.55E−02 8 1 LYM1132 0.73 3.82E−02 8 14 LYM1133 0.76 7.73E−02 7 1 LYM1133 0.71 7.31E−02 7 18 LYM1133 0.73 1.59E−02 6 18 LYM1133 0.88 2.14E−02 2 9 LYM1133 0.85 3.03E−02 2 18 LYM1134 0.91 1.20E−02 1 1 LYM1134 0.72 6.55E−02 1 2 LYM1134 0.89 1.67E−02 2 12 LYM1136 0.87 4.71E−03 5 11 LYM1136 0.73 6.26E−02 1 9 LYM1136 0.74 5.80E−02 1 12 LYM1136 0.90 1.31E−02 2 12 LYM1137 0.78 6.98E−02 1 1 LYM1137 0.73 6.39E−02 1 8 LYM1137 0.84 4.65E−03 3 2 LYM1138 0.73 3.90E−02 8 13 LYM1138 0.88 4.36E−03 8 11 LYM1138 0.81 1.55E−02 8 6 LYM1138 0.85 6.83E−03 8 10 LYM1138 0.75 3.12E−02 8 7 LYM1138 0.75 3.30E−02 8 4 LYM1138 0.71 4.64E−02 8 17 LYM1138 0.72 1.04E−01 2 3 LYM1138 0.74 9.30E−02 2 14 LYM1138 0.84 3.49E−02 2 11 LYM1138 0.78 6.99E−02 2 19 LYM1138 0.83 3.99E−02 2 2 LYM1138 0.79 6.02E−02 2 5 LYM1138 0.80 5.61E−02 2 7 LYM1138 0.82 4.40E−02 2 8 LYM1138 0.81 5.32E−02 2 4 LYM1139 0.75 5.45E−02 4 3 LYM1139 0.80 2.95E−02 4 14 LYM1139 0.72 6.84E−02 4 11 LYM1139 0.73 6.09E−02 4 6 LYM1139 0.73 6.44E−02 4 4 LYM1139 0.72 6.84E−02 4 17 LYM1139 0.78 3.99E−02 7 3 LYM1139 0.78 4.04E−02 7 14 LYM1139 0.73 6.44E−02 7 6 LYM1139 0.75 5.29E−02 7 4 LYM1139 0.72 6.56E−02 7 17 LYM1139 0.89 7.52E−03 1 3 LYM1139 0.79 3.62E−02 1 16 LYM1139 0.90 5.70E−03 1 6 LYM1139 0.82 2.46E−02 1 18 LYM1139 0.82 2.51E−02 1 8 LYM1139 0.86 1.23E−02 1 4 LYM1139 0.81 2.78E−02 1 17 LYM1139 0.79 6.14E−02 2 12 LYM1140 0.71 1.15E−01 1 1 LYM1140 0.81 2.79E−02 1 2 LYM1140 0.72 1.10E−01 2 3 LYM1140 0.71 1.17E−01 2 11 LYM1140 0.71 1.11E−01 2 6 LYM1141 0.72 6.82E−02 4 15 LYM1141 0.81 2.67E−02 4 9 LYM1141 0.83 2.04E−02 7 3 LYM1141 0.89 7.39E−03 7 16 LYM1141 0.81 2.72E−02 7 14 LYM1141 0.84 1.70E−02 7 15 LYM1141 0.73 6.07E−02 7 13 LYM1141 0.76 4.85E−02 7 21 LYM1141 0.94 1.61E−03 7 11 LYM1141 0.79 3.51E−02 7 6 LYM1141 0.87 1.14E−02 7 9 LYM1141 0.91 4.66E−03 7 10 LYM1141 0.75 5.12E−02 7 19 LYM1141 0.78 3.71E−02 7 5 LYM1141 0.92 3.00E−03 7 7 LYM1141 0.71 7.32E−02 7 8 LYM1141 0.81 2.85E−02 7 12 LYM1141 0.77 4.26E−02 7 4 LYM1141 0.88 8.42E−03 7 17 LYM1141 0.79 3.52E−02 1 16 LYM1141 0.88 8.30E−03 1 15 LYM1141 0.88 8.47E−03 1 11 LYM1141 0.88 8.55E−03 1 9 LYM1141 0.93 2.80E−03 1 10 LYM1141 0.73 6.22E−02 1 19 LYM1141 0.75 5.24E−02 1 5 LYM1141 0.87 1.13E−02 1 7 LYM1141 0.92 2.94E−03 1 12 LYM1141 0.77 4.46E−02 1 17 LYM1141 0.77 2.51E−02 8 13 LYM1141 0.71 4.62E−02 8 11 LYM1141 0.75 3.30E−02 8 10 LYM1142 0.78 6.74E−02 2 15 LYM1142 0.76 7.68E−02 2 12 LYM1143 0.88 4.10E−03 5 15 LYM1143 0.71 4.71E−02 5 18 LYM1143 0.70 1.20E−01 4 1 LYM1143 0.73 6.38E−02 4 16 LYM1143 0.77 4.23E−02 4 14 LYM1143 0.82 2.53E−02 4 15 LYM1143 0.90 5.51E−03 4 13 LYM1143 0.85 1.59E−02 4 11 LYM1143 0.73 5.99E−02 4 6 LYM1143 0.77 4.32E−02 4 10 LYM1143 0.79 3.32E−02 4 7 LYM1143 0.70 7.82E−02 4 4 LYM1143 0.74 5.59E−02 4 17 LYM1143 0.72 6.71E−02 7 3 LYM1143 0.72 6.59E−02 7 16 LYM1143 0.87 1.18E−02 7 14 LYM1143 0.83 2.15E−02 7 13 LYM1143 0.84 1.82E−02 7 11 LYM1143 0.82 2.53E−02 7 6 LYM1143 0.72 7.08E−02 7 10 LYM1143 0.76 4.58E−02 7 7 LYM1143 0.80 3.10E−02 7 4 LYM1143 0.78 3.93E−02 7 17 LYM1143 0.82 2.39E−02 1 14 LYM1143 0.72 6.96E−02 1 15 LYM1143 0.81 2.71E−02 1 13 LYM1143 0.78 3.82E−02 1 11 LYM1143 0.72 6.64E−02 1 10 LYM1143 0.77 4.34E−02 1 7 LYM1143 0.73 4.00E−02 8 16 LYM1143 0.76 2.94E−02 8 13 LYM1143 0.76 2.81E−02 8 10 LYM1143 0.72 4.38E−02 8 5 LYM1143 0.74 3.40E−02 8 7 LYM1143 0.78 2.21E−02 8 8 LYM1143 0.75 3.07E−02 8 4 LYM1146 0.73 1.01E−01 2 9 LYM1146 0.70 1.20E−01 2 10 LYM1146 0.94 5.60E−03 2 12 LYM1149 0.72 6.98E−02 7 3 LYM1149 0.70 7.97E−02 7 16 LYM1149 0.73 6.11E−02 7 19 LYM1149 0.77 4.17E−02 1 19 LYM1149 0.79 3.45E−02 1 12 LYM1149 0.73 4.05E−02 8 12 LYM1149 0.74 2.34E−02 3 16 LYM1149 0.72 3.03E−02 3 12 LYM1149 0.83 3.95E−02 2 12 LYM1151 0.73 4.04E−02 5 9 LYM1151 0.73 6.32E−02 4 14 LYM1151 0.78 3.74E−02 7 2 LYM1151 0.74 9.14E−02 1 1 LYM1151 0.70 7.71E−02 1 2 LYM1151 0.71 1.14E−01 2 6 LYM1151 0.80 5.47E−02 2 18 LYM1151 0.74 9.38E−02 2 17 LYM1152 0.85 7.44E−03 5 14 LYM1152 0.85 8.12E−03 5 11 LYM1152 0.72 4.25E−02 5 6 LYM1152 0.75 8.79E−02 4 1 LYM1152 0.75 4.98E−02 4 2 LYM1152 0.74 9.37E−02 2 12 LYM1153 0.73 2.43E−02 3 14 LYM1153 0.78 6.99E−02 2 3 LYM1153 0.74 9.05E−02 2 16 LYM1153 0.77 7.26E−02 2 13 LYM1153 0.71 1.13E−01 2 11 LYM1153 0.76 7.86E−02 2 6 LYM1153 0.83 4.13E−02 2 10 LYM1153 0.82 4.65E−02 2 5 LYM1153 0.71 1.12E−01 2 4 LYM1153 0.83 3.87E−02 2 17 LYM1154 0.77 2.44E−02 5 19 LYM1154 0.77 4.23E−02 4 2 LYM1154 0.80 5.55E−02 1 1 LYM1154 0.80 5.84E−03 6 18 LYM1154 0.94 5.21E−03 2 15 LYM1155 0.74 9.23E−02 4 1 LYM1155 0.74 5.88E−02 4 2 LYM1156 0.73 6.21E−02 4 2 LYM1156 0.91 1.14E−02 1 1 LYM1156 0.77 4.35E−02 1 2 LYM1156 0.75 2.00E−02 3 2 LYM1156 0.78 6.96E−02 2 3 LYM1156 0.71 1.11E−01 2 11 LYM1156 0.76 8.26E−02 2 6 LYM1156 0.72 1.08E−01 2 4 LYM1156 0.79 6.14E−02 2 17 LYM1158 0.79 2.03E−02 5 3 LYM1158 0.83 9.97E−03 5 16 LYM1158 0.79 1.96E−02 5 13 LYM1158 0.78 2.29E−02 5 11 LYM1158 0.81 1.35E−02 5 6 LYM1158 0.80 1.74E−02 5 10 LYM1158 0.76 2.77E−02 5 19 LYM1158 0.70 5.20E−02 5 5 LYM1158 0.92 1.09E−03 5 7 LYM1158 0.94 6.40E−04 5 8 LYM1158 0.91 1.85E−03 5 4 LYM1158 0.76 2.93E−02 5 17 LYM1158 0.75 8.50E−02 4 1 LYM1158 0.83 2.15E−02 7 14 LYM1158 0.77 4.48E−02 7 6 LYM1158 0.77 4.46E−02 7 18 LYM1158 0.76 4.95E−02 7 4 LYM1158 0.75 8.41E−02 1 1 LYM1158 0.76 8.13E−02 2 3 LYM1158 0.87 2.39E−02 2 6 LYM1158 0.79 6.12E−02 2 18 LYM1158 0.79 5.95E−02 2 17 LYM1159 0.72 3.01E−02 6 1 LYM1159 0.90 1.05E−03 3 2 LYM1160 0.89 7.09E−03 7 18 LYM1161 0.85 1.52E−02 4 3 LYM1161 0.91 4.55E−03 4 16 LYM1161 0.78 3.83E−02 4 14 LYM1161 0.84 1.85E−02 4 15 LYM1161 0.78 3.91E−02 4 13 LYM1161 0.88 8.96E−03 4 11 LYM1161 0.78 3.94E−02 4 6 LYM1161 0.90 5.38E−03 4 9 LYM1161 0.88 8.73E−03 4 10 LYM1161 0.90 5.68E−03 4 19 LYM1161 0.85 1.53E−02 4 5 LYM1161 0.92 3.17E−03 4 7 LYM1161 0.80 3.19E−02 4 8 LYM1161 0.81 2.71E−02 4 12 LYM1161 0.79 3.431−02 4 4 LYM1161 0.86 1.35E−02 4 17 LYM1161 0.82 2.55E−02 1 19 LYM1161 0.90 5.18E−03 1 5 LYM1161 0.73 6.03E−02 1 7 LYM1161 0.75 5.20E−02 1 8 LYM1161 0.71 2.12E−02 6 15 LYM1161 0.78 1.41E−02 3 3 LYM1161 0.82 6.91E−03 3 16 LYM1161 0.74 2.33E−02 3 14 LYM1161 0.76 1.70E−02 3 13 LYM1161 0.81 7.63E−03 3 11 LYM1161 0.76 1.63E−02 3 6 LYM1161 0.79 1.10E−02 3 10 LYM1161 0.83 5.44E−03 3 19 LYM1161 0.80 9.13E−03 3 5 LYM1161 0.85 3.42E−03 3 7 LYM1161 0.81 7.99E−03 3 8 LYM1161 0.79 1.08E−02 3 4 LYM1161 0.80 9.45E−03 3 17 LYM1161 0.78 6.79E−02 2 3 LYM1161 0.74 9.49E−02 2 16 LYM1161 0.85 3.30E−02 2 11 LYM1161 0.87 2.32E−02 2 6 LYM1161 0.79 6.33E−02 2 19 LYM1161 0.77 7.61E−02 2 4 LYM1162 0.92 3.41E−03 4 14 LYM1162 0.78 3.86E−02 4 6 LYM1162 0.85 1.43E−02 4 8 LYM1162 0.85 1.66E−02 4 4 LYM1162 0.72 6.78E−02 1 5 LYM1162 0.91 1.23E−02 2 12 LYM1163 0.74 5.72E−02 4 3 LYM1163 0.79 3.60E−02 4 16 LYM1163 0.79 3.28E−02 4 15 LYM1163 0.82 2.32E−02 4 11 LYM1163 0.78 3.96E−02 4 9 LYM1163 0.84 1.78E−02 4 10 LYM1163 0.80 2.90E−02 4 5 LYM1163 0.78 3.76E−02 4 7 LYM1163 0.86 1.40E−02 4 12 LYM1163 0.79 3.55E−02 4 17 LYM1163 0.76 2.85E−02 8 1 LYM1163 0.71 1.17E−01 2 9 LYM1163 0.93 7.22E−03 2 12 LYM1165 0.74 5.77E−02 4 3 LYM1165 0.72 7.06E−02 4 16 LYM1165 0.73 6.18E−02 4 14 LYM1165 0.75 5.07E−02 4 11 LYM1165 0.74 5.81E−02 4 10 LYM1165 0.86 1.37E−02 4 5 LYM1165 0.76 4.87E−02 4 7 LYM1165 0.73 6.34E−02 4 17 LYM1165 0.73 6.46E−02 7 3 LYM1165 0.77 4.33E−02 7 5 LYM1165 0.78 3.82E−02 1 16 LYM1165 0.72 7.04E−02 1 15 LYM1165 0.80 2.92E−02 1 11 LYM1165 0.80 3.10E−02 1 9 LYM1165 0.87 1.14E−02 1 10 LYM1165 0.85 1.49E−02 1 19 LYM1165 0.92 3.56E−03 1 5 LYM1165 0.87 1.14E−02 1 7 LYM1165 0.71 7.20E−02 1 8 LYM1165 0.88 9.60E−03 1 12 LYM1165 0.72 6.77E−02 1 17 LYM1165 0.71 2.11E−02 6 12 LYM1167 0.80 5.75E−02 1 1 LYM1167 0.89 1.67E−02 2 9 LYM1167 0.90 1.58E−02 2 18 LYM1168 0.73 6.08E−02 4 2 LYM1169 0.78 2.34E−02 5 11 LYM1169 0.76 2.78E−02 5 9 LYM1169 0.71 7.15E−02 4 3 LYM1169 0.81 2.57E−02 4 19 LYM1169 0.85 1.58E−02 4 5 LYM1169 0.84 1.91E−02 4 8 LYM1169 0.72 7.00E−02 4 4 LYM1169 0.74 9.03E−02 2 9 LYM1169 0.84 3.86E−02 2 12 LYM1170 0.90 5.92E−03 4 3 LYM1170 0.90 5.52E−03 4 16 LYM1170 0.75 5.20E−02 4 14 LYM1170 0.72 6.76E−02 4 15 LYM1170 0.74 5.68E−02 4 13 LYM1170 0.85 1.60E−02 4 11 LYM1170 0.86 1.24E−02 4 6 LYM1170 0.79 3.50E−02 4 9 LYM1170 0.81 2.75E−02 4 10 LYM1170 0.85 1.62E−02 4 19 LYM1170 0.82 2.40E−02 4 5 LYM1170 0.87 1.08E−02 4 7 LYM1170 0.84 1.89E−02 4 8 LYM1170 0.85 1.53E−02 4 4 LYM1170 0.88 9.02E−03 4 17 LYM1171 0.77 2.49E−02 5 9 LYM1171 0.78 3.73E−02 4 15 LYM1171 0.83 1.99E−02 4 9 LYM1171 0.70 7.76E−02 4 10 LYM1171 0.72 6.97E−02 4 7 LYM1171 0.71 7.11E−02 4 12 LYM1171 0.81 4.77E−03 6 5 LYM1171 0.83 4.29E−02 2 12 LYM1172 0.82 1.28E−02 5 9 LYM1173 0.82 4.61E−02 2 10 LYM1173 0.79 6.01E−02 2 7 LYM1173 0.72 1.10E−01 2 8 LYM1173 0.70 1.20E−01 2 4 LYM1174 0.71 4.69E−02 5 9 LYM1174 0.79 3.44E−02 4 3 LYM1174 0.81 2.56E−02 4 16 LYM1174 0.75 5.24E−02 4 15 LYM1174 0.87 1.14E−02 4 11 LYM1174 0.73 6.31E−02 4 6 LYM1174 0.76 4.52E−02 4 9 LYM1174 0.83 2.23E−02 4 10 LYM1174 0.81 2.84E−02 4 7 LYM1174 0.73 6.39E−02 4 12 LYM1174 0.85 1.63E−02 4 17 LYM1174 0.70 7.97E−02 7 2 LYM1174 0.94 4.56E−05 6 3 LYM1174 0.88 8.99E−04 6 16 LYM1174 0.80 5.31E−03 6 11 LYM1174 0.88 8.90E−04 6 6 LYM1174 0.70 2.36E−02 6 9 LYM1174 0.77 8.75E−03 6 10 LYM1174 0.80 5.69E−03 6 7 LYM1174 0.78 8.42E−03 6 8 LYM1174 0.71 2.26E−02 6 12 LYM1174 0.87 1.11E−03 6 4 LYM1174 0.94 6.60E−05 6 17 LYM1174 0.90 1.41E−02 2 9 LYM1174 0.91 1.12E−02 2 18 LYM1175 0.75 8.67E−02 1 1 LYM1176 0.81 5.25E−02 2 15 LYM1177 0.86 2.72E−03 3 11 LYM1177 0.87 2.42E−03 3 10 LYM1177 0.76 1.86E−02 3 19 LYM1177 0.76 1.69E−02 3 5 LYM1177 0.83 5.79E−03 3 7 LYM1177 0.81 8.38E−03 3 12 LYM1177 0.73 2.68E−02 3 17 LYM1177 0.95 3.65E−03 2 9 LYM1177 0.88 2.09E−02 2 18 LYM1178 0.90 1.39E−02 4 1 LYM1178 0.79 3.61E−02 4 6 LYM1178 0.77 4.47E−02 4 2 LYM1178 0.76 4.58E−02 4 8 LYM1178 0.74 5.60E−02 4 4 LYM1178 0.73 6.32E−02 7 3 LYM1178 0.79 3.30E−02 7 6 LYM1178 0.80 3.14E−02 7 18 LYM1178 0.94 5.60E−03 1 1 LYM1178 0.78 3.71E−02 1 2 LYM1179 0.70 7.83E−02 4 14 LYM1179 0.76 4.82E−02 1 14 LYM1179 0.70 7.74E−02 1 11 LYM1179 0.76 4.95E−02 1 5 LYM1179 0.71 7.28E−02 1 7 LYM1179 0.75 3.31E−02 8 1 LYM1179 0.81 1.52E−02 8 2 LYM1180 0.75 5.34E−02 1 18 LYM1180 0.81 5.29E−02 2 9 LYM1182 0.75 3.26E−02 5 11 LYM1182 0.70 7.98E−02 7 13 LYM1182 0.82 4.50E−02 2 19 LYM1183 0.77 4.39E−02 7 12 LYM1183 0.74 9.23E−02 2 12 LYM1184 0.77 4.40E−02 4 2 LYM1184 0.88 2.04E−02 1 1 LYM1184 0.79 3.32E−02 1 2 LYM1185 0.76 7.66E−02 2 3 LYM1185 0.79 6.15E−02 2 11 LYM1185 0.71 1.16E−01 2 6 LYM1185 0.84 3.77E−02 2 7 LYM1185 0.81 5.26E−02 2 8 LYM1185 0.80 5.57E−02 2 4 LYM1185 0.71 1.11E−01 2 17 LYM1186 0.97 1.42E−03 7 1 LYM1186 0.78 3.79E−02 1 15 LYM1186 0.81 2.85E−02 1 9 LYM1186 0.76 4.66E−02 1 12 LYM1186 0.84 3.43E−02 2 14 LYM1187 0.76 4.63E−02 5 1 LYM1187 0.72 4.56E−02 5 2 LYM1187 0.71 7.30E−02 7 11 LYM1187 0.70 5.18E−02 8 1 LYM1187 0.72 4.47E−02 8 13 LYM1187 0.71 4.77E−02 8 10 LYM1187 0.71 3.31E−02 3 15 LYM1187 0.70 3.55E−02 3 12 LYM1187 0.72 2.92E−02 3 17 LYM1187 0.96 2.29E−03 2 12 Table 22. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal conditions across maize varieties. P = p value.

Example 6 Production of Barley Transcriptome and High Throughput Correlation Analysis Using 60K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 60K Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different Barley accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Barley tissues—Five tissues at different developmental stages [leaf, meristem, root tip, adventitious root and booting spike], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 23 and 24 below.

TABLE 23 Barley transcriptome expression sets (set 1) Expression Set Set ID Root at vegetative stage under low N conditions 1 Root at vegetative stage under normal conditions 2 leaf at vegetative stage under low N conditions 3 leaf at vegetative stage under normal conditions 4 root tip at vegetative stage under low N conditions 5 root tip at vegetative stage under normal conditions 6

TABLE 24 Barley transcriptome expression sets (set 2) Expression Set Set ID booting spike at reproductive stage under drought conditions 1 leaf at reproductive stage under drought conditions 2 leaf at vegetative stage under drought conditions 3 meristems at vegetative stage under drought conditions 4 root tip at vegetative stage under drought conditions 5 root tip at vegetative stage under recovery drought 6

Barley yield components and vigor related parameters assessment—15 Barley accessions in 5 repetitive blocks, each containing 5 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth) or under low Nitrogen (80% percent less Nitrogen) or drought stress. Plants were phenotyped on a daily basis following the standard descriptor of barley (Tables 25 and 26, below). Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb(dot)nih(dot)gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Grains number—The total number of grains from all spikes that were manually threshed was counted. Number of grains per plot were counted.

Grain weight (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot.

Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike number analysis—The spikes per plant were counted.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Spike weight—The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.

Root dry weight=total weight of the root portion underground after drying at 70° C. in oven for 48 hours at harvest.

Root/Shoot Ratio—Root/Shoot Ratio (=RBiH/BiH) was performed using Formula XXII above.

Total No of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Root FW (gr.), root length (cm) and number of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed.

Shoot FW—weight of 3 plants per plot were recorded at different time-points.

Relative water content—Fresh weight (FW) of three leaves from three plants each from different seed ID was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) was calculated according to Formula I above.

Harvest Index (for barley)—The harvest index was calculated using Formula XVIII above.

Relative growth rate: relative growth rate (RGR) of Plant Height, SPAD and number of tillers were performed using Formula III, Formula IV and Formula V respectively.

TABLE 25 Barley correlated parameters (vectors for set 1) Correlated parameter with Correlation ID Lateral Roots (number)-Normal 1 Leaf Area (mm²)-Normal 2 Leaf Number-TP4-Low N 3 Max Length (mm)-Normal 4 Max Width (mm)-Normal 5 Max Length (mm)-TP4-Low N 6 Max Width (mm)-TP4-Low N 7 No of lateral roots-Low N-TP2 8 Num Leaves-Normal 9 Num Seeds-Normal 10 Num Spikes per plot-Normal 11 Num Tillers per plant-Normal 12 Plant Height (cm)-TP1-Normal 13 Plant Height (cm)-TP2-Normal 14 Plant Height (cm)-Low N-TP1 15 Plant Height (cm)-Low N-TP2 16 Root FW (g)-Normal 17 Root Length (cm)-Normal 18 Root FW (g)-Low N-TP2 19 Root length (cm)-Low N-TP2 20 SPAD-Normal 21 SPAD-Low N-TP2 22 Seed Yield (gr)-Normal 23 Seed Number (per plot)-Low N 24 Seed Yield (gr)-Low N 25 Shoot FW (g)-Normal 26 Spike Length (cm)-Normal 27 Spike Width (cm)-Normal 28 Spike weight per plot (g)-Normal 29 Spike Length (cm)-Low N 30 Spike Width (cm)-Low N 31 Spike total weight (per plot)-Low N 32 Total Tillers per plot (number)-Normal 33 Total Leaf Area (mm²)-TP4-Low N 34 Total No of Spikes per plot-Low N 35 Total No of tillers per plot-Low N 36 shoot FW (gr)-Low N-TP2 37 Table 25. Provided are the barley correlated parameters, TP means time point, DW-dry weight, FW-fresh weight and Low N-Low Nitrogen.

TABLE 26 Barley correlated parameters (vectors for set 2) Correlated parameter with Correlation ID Chlorophyll levels 1 Dry weight harvest (g) 2 Dry weight vegetative growth 3 Fresh weight (g) 4 Grain number 5 Grain weight (g) 6 Harvest index (value) 7 Heading date 8 Height Relative growth rate (cm/day) 9 Number of tillers Relative growth rate 10 (number of tillers/day) Plant height T1 (cm) 11 Plant height T2 (cm) 12 RBiH/BiH (value) 13 Relative water content 14 Root dry weight (g) 15 Root fresh weight (g) 16 Root length (cm) 17 SPAD Relative growth rate 18 Spike length (cm) 19 Spike number per plant 20 Spike weight per plant 21 Spike width (cm) 22 Tillers number T1 23 Tillers number T2 24 lateral root number 25 Table 26. Provided are the barley correlated parameters, TP means time point, DW-dry weight, FW-fresh weight and Low N-Low Nitrogen.

Experimental Results

15 different Barley accessions were grown and characterized for different parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 27-29 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 30-31). Follow, results were integrated to the database.

TABLE 27 Measured parameters of correlation IDs in Barley accessions (set 1) Ecotype/ Line- Line- Line- Line- Line- Line- Line- Line- Line- Line- Treatment 1 2 3 4 5 6 7 8 9 10 1 7.00 8.67 8.33 9.67 10.70 9.67 9.67 8.67 10.00 9.67 2 294.00 199.00 273.00 276.00 313.00 309.00 259.00 291.00 299.00 296.00 3 8.00 8.00 7.50 8.50 10.00 11.50 8.60 6.33 7.50 10.00 4 502.00 348.00 499.00 594.00 535.00 551.00 479.00 399.00 384.00 470.00 5 5.77 5.45 5.80 6.03 4.63 5.33 5.83 5.43 5.75 6.03 6 102.90 107.78 111.57 142.42 152.38 149.33 124.08 95.00 124.12 135.17 7 5.25 5.17 5.12 5.30 5.20 5.33 5.32 5.10 5.15 5.10 8 5.00 6.00 4.33 6.00 6.33 6.00 6.67 4.67 5.67 7.33 9 24.20 18.20 22.70 25.50 23.20 28.30 22.20 19.00 17.30 22.00 10 1090.00 510.00 242.00 582.00 621.00 1070.00 903.00 950.00 984.00 768.00 11 41.50 32.00 36.00 71.40 34.20 45.60 49.80 28.00 19.30 38.00 12 2.00 2.00 1.00 2.33 2.33 3.33 2.33 1.33 1.33 1.67 13 39.20 37.00 36.80 49.80 46.80 34.80 43.20 35.70 46.20 40.20 14 64.70 84.00 67.40 82.00 72.00 56.60 65.80 62.80 91.60 66.20 15 41.00 82.00 61.40 59.40 65.80 47.80 53.80 56.40 81.80 44.60 16 16.33 18.83 17.33 26.00 22.50 18.17 19.67 19.83 19.17 19.17 17 0.27 0.27 0.25 0.35 0.62 0.27 0.35 0.32 0.23 0.27 18 21.30 15.00 21.80 20.30 27.20 16.00 24.00 13.50 21.50 15.20 19 0.38 0.23 0.12 0.40 0.88 0.50 0.43 0.32 0.30 0.55 20 24.67 21.67 22.00 21.67 22.17 23.00 30.50 22.83 23.83 24.50 21 39.10 41.40 35.20 33.70 34.20 42.80 37.00 36.90 35.00 36.80 22 24.03 23.30 26.47 23.90 26.63 23.20 25.43 24.23 25.03 26.07 23 46.40 19.80 10.80 22.60 30.30 54.10 37.00 42.00 35.40 38.30 24 230.20 164.60 88.25 133.60 106.00 222.60 219.20 143.45 201.80 125.00 25 9.76 7.31 3.30 5.06 6.02 9.74 7.35 5.80 7.83 6.29 26 2.17 1.90 1.25 3.00 15.60 3.02 2.58 1.75 2.18 1.82 27 16.50 19.20 18.30 20.40 17.20 19.10 20.30 21.70 16.50 16.10 28 9.54 9.05 8.25 6.55 10.50 8.83 7.38 10.40 10.20 10.30 29 69.40 39.40 34.90 50.30 60.80 79.10 62.70 60.00 55.90 59.70 30 15.19 19.61 16.30 19.32 90.22 16.44 20.44 18.84 18.77 16.65 31 7.95 8.13 9.43 4.94 9.60 7.16 7.06 8.51 10.01 9.40 32 13.74 13.44 9.15 11.64 11.34 15.06 12.18 10.95 12.18 10.62 33 46.70 41.60 40.00 48.80 34.60 48.60 49.20 29.00 27.50 38.80 34 39.40 46.27 51.51 57.07 67.78 64.15 52.42 46.15 68.02 57.91 35 12.20 9.00 11.60 25.00 7.80 14.50 15.00 7.00 5.40 8.40 36 16.20 14.60 16.00 20.75 12.50 18.80 21.20 11.00 6.75 14.00 37 0.43 0.43 0.33 0.58 0.78 0.53 0.45 0.43 0.50 0.62 Table 27.

TABLE 28 Measured parameters of correlation IDs in Barley accessions (set 2) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 1 41.33 33.57 36.57 40.50 45.07 39.73 38.33 36.17 2 6.15 5.05 3.20 3.28 4.76 3.55 4.52 3.38 3 0.21 0.21 0.17 4 1.90 1.52 1.17 1.95 1.90 1.22 1.75 1.58 5 170.00 267.50 111.00 205.33 153.60 252.50 288.40 274.50 6 5.55 9.80 3.55 7.20 5.28 7.75 9.92 10.25 7 0.47 0.66 0.53 0.69 0.53 0.69 0.69 0.75 8 75.00 71.00 65.00 66.75 90.00 90.00 9 0.27 0.86 0.73 0.88 0.40 0.94 0.70 0.71 10 0.070 0.097 0.059 0.071 0.164 0.061 0.104 0.049 11 33.33 27.00 31.33 34.17 31.33 30.33 28.67 38.67 12 46.00 52.80 35.00 38.00 45.20 48.00 37.67 41.20 13 0.013 0.012 0.008 0.006 0.025 0.020 0.008 0.008 14 80.60 53.40 55.87 43.21 69.78 45.49 76.51 15 77.52 60.19 27.13 18.62 117.42 70.72 37.34 25.56 16 2.07 1.48 1.12 1.87 1.67 1.68 1.62 0.85 17 21.67 20.33 22.00 24.00 20.67 18.33 21.00 20.33 18 0.09 −0.12 0.00 0.01 0.04 −0.07 0.01 0.00 19 16.70 16.85 13.27 13.55 14.19 15.64 15.66 17.49 20 4.20 4.36 7.60 8.44 4.92 3.43 6.90 5.80 21 17.72 24.24 18.20 18.00 19.50 15.00 23.40 28.16 22 8.64 9.07 7.82 7.32 8.74 7.62 6.98 8.05 23 2.00 2.00 1.67 1.67 2.00 1.67 2.33 1.00 24 11.68 9.04 10.92 10.16 10.32 8.78 13.00 7.44 25 8.33 8.67 7.33 7.67 6.67 6.67 7.67 6.67 Table 28.

TABLE 29 Measured parameters of correlation IDs in Barley accessions (set 2) additional lines Ecotype/Treatment Line-9 Line-10 Line-11 Line-12 Line-13 Line-14 Line-15 1 42.13 31.77 33.47 42.37 42.27 36.77 40.63 2 5.67 3.31 2.65 5.12 6.86 3.11 3.74 3 0.25 0.13 0.19 0.22 4 1.88 1.73 1.00 0.90 0.90 1.43 0.83 5 348.50 358.00 521.39 71.50 160.13 376.67 105.00 6 8.50 14.03 17.52 2.05 5.38 11.00 2.56 7 0.60 0.81 0.87 0.29 0.44 0.78 0.41 8 90.00 90.00 81.60 90.00 9 0.77 0.80 0.92 0.39 0.88 −0.13 0.20 10 0.100 0.061 0.063 0.183 0.149 0.022 0.442 11 33.67 28.43 27.50 25.00 27.00 31.00 22.33 12 40.80 49.86 43.00 47.40 64.80 52.60 32.00 13 0.012 0.007 0.016 0.023 0.012 0.012 0.026 14 87.41 58.32 80.58 73.09 15 66.18 22.13 41.12 116.95 84.10 37.46 98.86 16 1.45 1.38 0.82 0.58 0.63 1.07 0.70 17 21.67 19.67 16.67 17.00 15.17 27.00 15.00 18 −0.06 0.04 0.05 0.00 −0.07 0.03 −0.06 19 16.00 18.31 17.42 14.23 14.81 16.54 12.72 20 8.55 9.67 5.42 3.05 4.07 3.72 3.21 21 21.96 33.03 34.80 11.73 18.78 21.00 9.88 22 6.06 6.73 9.55 7.84 7.81 8.35 5.47 23 2.33 3.00 1.00 1.00 1.00 1.00 1.00 24 13.92 11.00 6.78 8.45 9.15 5.12 16.13 25 6.00 8.67 7.67 6.33 7.00 7.00 6.67 Table 29.

TABLE 30 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen, normal or drought stress conditions across Barley accessions (set 1) Gene P Exp. Corr. Gene P Exp. Corr. Name R value set Set ID Name R value set Set ID LYM1010 0.89 1.28E−03 1 30 LYM1010 0.86 2.91E−03 1 19 LYM1010 0.71 3.13E−02 1 37 LYM1010 0.93 2.58E−04 2 11 LYM1010 0.71 3.22E−02 3 3 LYM1010 0.83 5.24E−03 3 22 LYM1011 0.72 2.92E−02 1 30 LYM1011 0.84 2.09E−03 5 8 LYM1012 0.75 3.37E−02 4 33 LYM1012 0.75 3.09E−02 4 21 LYM1013 0.85 7.13E−03 4 21 LYM1013 0.74 2.34E−02 2 10 LYM1014 0.76 1.83E−02 1 30 LYM1015 0.79 1.91E−02 6 5 LYM1015 0.72 2.90E−02 2 1 LYM1015 0.89 1.21E−03 2 13 LYM1015 0.72 2.87E−02 3 30 LYM1015 0.80 1.01E−02 3 19 LYM1015 0.76 1.73E−02 3 37 LYM1017 0.80 1.02E−02 1 20 LYM1017 0.81 8.66E−03 2 10 LYM1017 0.71 3.12E−02 2 23 LYM1017 0.72 2.84E−02 3 7 LYM1018 0.72 4.25E−02 6 33 LYM1018 0.72 4.21E−02 6 18 LYM1018 0.80 9.48E−03 1 7 LYM1018 0.75 2.04E−02 1 20 LYM1018 0.71 4.82E−02 4 33 LYM1018 0.83 1.11E−02 4 11 LYM1018 0.83 9.93E−03 4 9 LYM1018 0.78 2.37E−02 4 4 LYM1018 0.79 1.88E−02 4 12 LYM1018 0.87 2.15E−03 2 33 LYM1018 0.78 1.39E−02 2 12 LYM1018 0.71 3.15E−02 2 13 LYM1018 0.86 3.10E−03 3 7 LYM1018 0.78 1.39E−02 3 36 LYM1018 0.87 2.35E−03 3 35 LYM1019 0.76 1.09E−02 5 25 LYM1020 0.71 3.05E−02 2 10 LYM1020 0.81 7.98E−03 3 20 LYM1020 0.73 2.68E−02 3 32 LYM1021 0.88 1.69E−03 1 15 LYM1021 0.97 1.22E−05 2 26 LYM1021 0.92 5.10E−04 2 17 LYM1021 0.80 9.78E−03 3 30 LYM1021 0.73 2.45E−02 3 34 LYM1021 0.79 1.06E−02 3 37 LYM1022 0.81 1.38E−02 6 5 LYM1022 0.80 1.80E−02 4 33 LYM1022 0.76 3.01E−02 4 21 LYM1022 0.74 2.39E−02 2 1 LYM1022 0.72 2.97E−02 2 18 LYM1022 0.75 1.96E−02 2 17 LYM1022 0.87 2.17E−03 3 36 LYM1022 0.95 8.69E−05 3 35 LYM1024 0.73 4.12E−02 6 14 LYM1024 0.89 1.27E−03 1 30 LYM1024 0.75 2.00E−02 1 37 LYM1024 0.80 1.60E−02 4 14 LYM1024 0.82 6.83E−03 3 20 LYM1025 0.87 2.38E−03 1 20 LYM1025 0.77 1.42E−02 3 30 LYM1025 0.80 9.87E−03 3 19 LYM1025 0.71 3.25E−02 3 34 LYM1025 0.85 3.74E−03 3 37 LYM1025 0.70 3.41E−02 3 16 LYM1027 0.72 4.47E−02 6 5 LYM1027 0.74 3.53E−02 4 21 LYM1027 0.72 4.27E−02 4 29 LYM1027 0.93 8.23E−04 4 12 LYM1028 0.74 3.70E−02 4 5 LYM1029 0.90 2.37E−03 6 5 LYM1029 0.80 9.04E−03 1 35 LYM1029 0.72 3.02E−02 2 18 LYM1030 0.77 2.50E−02 6 5 LYM1030 0.87 2.14E−03 2 13 LYM1031 0.74 2.20E−02 2 26 LYM1031 0.73 2.53E−02 2 17 LYM1032 0.70 3.50E−02 3 34 LYM1033 0.99 1.06E−07 1 30 LYM1033 0.83 5.43E−03 1 19 LYM1033 0.81 8.70E−03 1 37 LYM1033 0.85 3.49E−03 2 11 LYM1034 0.77 2.47E−02 6 5 LYM1034 0.71 3.05E−02 1 30 LYM1034 0.74 2.30E−02 1 31 LYM1034 0.76 2.73E−02 4 28 LYM1034 0.74 2.21E−02 2 28 LYM1034 0.73 2.61E−02 2 18 LYM1034 0.88 1.82E−03 2 26 LYM1034 0.90 8.29E−04 2 17 LYM1034 0.76 1.71E−02 3 32 LYM1035 0.89 3.08E−03 4 14 LYM1036 0.93 3.52E−04 2 26 LYM1036 0.87 2.31E−03 2 17 LYM1036 0.75 1.94E−02 3 25 LYM1036 0.71 3.14E−02 3 32 LYM1037 0.85 3.55E−03 1 20 LYM1037 0.74 3.42E−02 4 18 LYM1038 0.79 1.97E−02 4 14 LYM1038 0.74 3.46E−02 4 13 LYM1038 0.70 3.51E−02 2 1 LYM1038 0.72 2.86E−02 2 13 LYM1040 0.71 3.27E−02 1 22 LYM1041 0.70 5.20E−02 4 23 LYM1042 0.71 4.78E−02 6 21 LYM1043 0.72 2.95E−02 1 35 LYM1043 0.74 1.44E−02 5 35 LYM1043 0.75 1.98E−02 3 30 LYM1043 0.76 1.84E−02 3 19 LYM1043 0.73 2.70E−02 3 37 LYM1044 0.85 7.86E−03 6 26 LYM1044 0.79 1.97E−02 6 12 LYM1044 0.73 4.01E−02 4 18 LYM1044 0.78 2.17E−02 4 26 LYM1044 0.79 1.86E−02 4 17 LYM1044 0.76 2.89E−02 4 13 LYM1044 0.71 2.19E−02 5 19 LYM1044 0.82 3.47E−03 5 3 LYM1044 0.84 4.64E−03 2 21 LYM1046 0.76 2.92E−02 6 21 LYM1047 0.93 2.35E−04 3 30 LYM1047 0.85 3.43E−03 3 19 LYM1047 0.79 1.08E−02 3 37 LYM1048 0.84 8.63E−03 4 18 LYM1048 0.80 9.50E−03 3 31 LYM1049 0.73 2.48E−02 3 7 LYM1051 0.72 4.46E−02 6 5 LYM1052 0.86 6.30E−03 4 28 LYM1052 0.78 1.33E−02 3 31 LYM1053 0.74 3.66E−02 4 14 LYM1054 0.86 2.67E−03 1 30 LYM1054 0.73 2.52E−02 1 19 LYM1055 0.70 3.49E−02 2 11 LYM1057 0.73 2.61E−02 3 36 LYM1057 0.85 3.70E−03 3 35 LYM1058 0.70 3.46E−02 1 30 LYM1058 0.85 7.49E−03 4 18 LYM1058 0.83 5.31E−03 2 11 LYM1058 0.73 2.60E−02 3 31 LYM1059 0.76 2.98E−02 6 18 LYM1059 0.90 4.41E−04 5 35 LYM1059 0.77 8.58E−03 5 16 LYM1059 0.81 8.73E−03 2 18 LYM1059 0.73 2.60E−02 2 17 LYM1059 0.86 3.08E−03 2 13 LYM1060 0.84 9.16E−03 6 1 LYM1060 0.71 4.92E−02 6 26 LYM1060 0.74 2.21E−02 2 18 LYM1060 0.75 1.97E−02 2 4 LYM1060 0.87 2.58E−03 3 30 LYM1060 0.88 1.91E−03 3 19 LYM1060 0.92 3.89E−04 3 37 LYM1060 0.83 5.10E−03 3 6 LYM1060 0.80 1.01E−02 3 16 LYM1061 0.93 3.39E−04 1 16 LYM1061 0.77 1.54E−02 2 26 LYM1061 0.85 3.69E−03 2 17 LYM1061 0.80 9.96E−03 2 13 LYM1062 0.75 2.12E−02 1 31 LYM1062 0.78 1.35E−02 3 31 LYM1063 0.73 2.57E−02 1 34 LYM1063 0.71 5.07E−02 4 17 LYM1063 0.71 3.08E−02 2 26 LYM1063 0.72 3.01E−02 2 17 LYM1064 0.72 4.51E−02 6 33 LYM1064 0.88 3.78E−03 4 18 LYM1064 0.75 3.37E−02 4 26 LYM1064 0.77 2.44E−02 4 17 LYM1064 0.76 1.00E−02 5 8 LYM1066 0.72 4.43E−02 6 18 LYM1066 0.78 1.37E−02 1 30 LYM1066 0.88 2.00E−03 2 11 LYM1066 0.73 2.54E−02 2 13 LYM1068 0.84 8.60E−03 6 18 LYM1068 0.76 2.95E−02 4 2 LYM1069 0.73 3.88E−02 6 17 LYM1069 0.83 6.05E−03 1 20 LYM1069 0.78 1.29E−02 2 11 LYM1070 0.74 3.62E−02 6 14 LYM1070 0.89 2.85E−03 6 5 LYM1070 0.77 1.51E−02 1 31 LYM1070 0.75 3.31E−02 4 18 LYM1070 0.95 2.98E−04 4 13 LYM1070 0.74 2.16E−02 3 3 LYM1070 0.81 7.75E−03 3 8 LYM1071 0.72 4.43E−02 4 28 LYM1071 0.77 1.43E−02 2 28 LYM1072 0.81 8.16E−03 1 30 LYM1072 0.83 5.72E−03 1 19 LYM1072 0.71 3.05E−02 1 37 LYM1073 0.83 5.76E−03 1 20 LYM1073 0.88 1.68E−03 3 20 LYM1074 0.78 2.18E−02 6 33 LYM1074 0.78 2.32E−02 6 12 LYM1074 0.92 4.49E−04 1 20 LYM1074 0.77 8.96E−03 5 8 LYM1074 0.77 1.47E−02 2 11 LYM1074 0.72 2.92E−02 2 18 LYM1074 0.89 1.42E−03 2 13 LYM1075 0.85 3.90E−03 1 30 LYM1075 0.74 3.77E−02 4 28 LYM1075 0.75 3.11E−02 4 11 LYM1075 0.70 5.19E−02 4 12 LYM1075 0.72 4.27E−02 4 2 LYM1075 0.78 1.39E−02 2 21 LYM1075 0.76 1.86E−02 3 7 LYM1075 0.79 1.13E−02 3 35 LYM1076 0.85 7.97E−03 4 26 LYM1076 0.72 4.39E−02 4 17 LYM1076 0.70 2.36E−02 5 34 LYM1234 0.79 1.13E−02 2 28 LYM1234 0.75 2.01E−02 3 7 LYM1234 0.72 3.00E−02 3 36 LYM1234 0.86 3.19E−03 3 35 Table 30. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal, low nitrogen and drought conditions across barley varieties. P = p value.

TABLE 31 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen, normal or drought stress conditions across Barley accessions (set 2) Gene P Exp. Corr. Gene P Exp. Corr. Name R value set Set ID Name R value set Set ID LYM1010 0.82 4.45E−02 1 11 LYM1010 0.76 2.81E−02 3 22 LYM1010 0.70 3.43E−02 6 2 LYM1010 0.89 7.96E−03 2 17 LYM1010 0.82 2.31E−02 2 11 LYM1010 0.72 4.34E−02 5 10 LYM1010 0.81 1.59E−02 5 2 LYM1010 0.85 7.50E−03 5 15 LYM1011 0.70 1.20E−01 1 25 LYM1011 0.81 1.43E−02 3 20 LYM1011 0.77 2.40E−02 3 23 LYM1011 0.85 7.05E−03 5 18 LYM1012 0.74 9.19E−02 1 11 LYM1012 0.72 4.43E−02 3 12 LYM1012 0.71 5.04E−02 3 15 LYM1012 0.87 1.18E−02 2 11 LYM1013 0.82 4.41E−02 1 12 LYM1013 0.71 1.13E−01 1 19 LYM1013 0.79 6.11E−02 1 21 LYM1014 0.91 1.70E−03 3 12 LYM1014 0.74 5.62E−02 2 11 LYM1015 0.70 3.44E−02 4 4 LYM1016 0.81 4.98E−02 1 11 LYM1016 0.80 2.97E−02 2 22 LYM1016 0.75 5.14E−02 2 13 LYM1016 0.93 8.12E−03 5 8 LYM1017 0.79 6.02E−02 1 22 LYM1017 0.73 3.79E−02 3 13 LYM1017 0.81 2.59E−02 2 22 LYM1017 0.79 3.38E−02 2 9 LYM1017 0.76 4.94E−02 2 13 LYM1017 0.80 1.80E−02 5 15 LYM1018 0.91 1.14E−02 1 13 LYM1018 0.80 5.48E−02 1 2 LYM1018 0.90 1.32E−02 1 15 LYM1018 0.80 1.80E−02 3 24 LYM1018 0.80 1.62E−02 3 11 LYM1018 0.76 1.65E−02 6 16 LYM1018 0.94 1.49E−03 2 10 LYM1018 0.82 2.34E−02 2 2 LYM1018 0.79 2.06E−02 5 24 LYM1018 0.79 1.85E−02 5 11 LYM1018 0.89 2.90E−03 5 1 LYM1018 0.84 3.76E−02 5 8 LYM1018 0.72 3.00E−02 4 18 LYM1019 0.72 1.06E−01 1 4 LYM1019 0.71 3.20E−02 6 22 LYM1019 0.84 1.67E−02 2 17 LYM1020 0.73 1.02E−01 1 7 LYM1020 0.95 3.61E−03 1 12 LYM1020 0.75 8.53E−02 1 19 LYM1020 0.78 6.79E−02 1 6 LYM1020 0.86 2.73E−02 1 21 LYM1020 0.71 3.26E−02 6 2 LYM1020 0.77 4.36E−02 2 12 LYM1020 0.84 8.84E−03 5 19 LYM1020 0.80 1.76E−02 5 9 LYM1020 0.74 3.52E−02 5 13 LYM1020 0.71 5.02E−02 5 15 LYM1021 0.93 6.52E−03 1 12 LYM1021 0.84 3.59E−02 1 19 LYM1021 0.86 2.97E−02 1 5 LYM1021 0.81 5.24E−02 1 6 LYM1021 0.79 6.16E−02 1 21 LYM1021 0.81 2.84E−02 2 7 LYM1021 0.74 5.67E−02 2 5 LYM1021 0.80 2.93E−02 2 6 LYM1021 0.85 1.63E−02 2 9 LYM1021 0.72 6.92E−02 2 18 LYM1022 0.83 4.15E−02 1 12 LYM1022 0.73 9.73E−02 1 19 LYM1022 0.72 1.07E−01 1 5 LYM1022 0.75 3.35E−02 3 6 LYM1022 0.83 1.13E−02 3 21 LYM1022 0.72 6.77E−02 2 20 LYM1022 0.75 5.27E−02 2 12 LYM1022 0.77 2.48E−02 5 15 LYM1022 0.71 3.20E−02 4 10 LYM1022 0.89 1.48E−03 4 12 LYM1022 0.80 9.04E−03 4 2 LYM1022 0.73 2.69E−02 4 15 LYM1023 0.73 1.01E−01 1 23 LYM1023 0.91 1.19E−02 1 25 LYM1023 0.73 9.63E−02 1 18 LYM1023 0.72 4.46E−02 3 20 LYM1024 0.98 4.61E−04 1 11 LYM1024 0.75 2.12E−02 6 7 LYM1024 0.84 4.21E−03 6 5 LYM1024 0.85 3.46E−03 6 6 LYM1024 0.81 8.46E−03 6 21 LYM1024 0.76 4.84E−02 2 1 LYM1024 0.81 1.42E−02 5 10 LYM1024 0.78 2.29E−02 5 12 LYM1024 0.80 1.60E−02 5 2 LYM1025 0.76 8.00E−02 1 17 LYM1025 0.85 3.30E−02 1 22 LYM1025 0.73 9.61E−02 1 11 LYM1025 0.72 4.55E−02 3 12 LYM1025 0.75 3.28E−02 3 22 LYM1025 0.76 2.88E−02 3 2 LYM1025 0.74 3.68E−02 3 15 LYM1025 0.82 2.43E−02 6 8 LYM1025 0.87 1.17E−02 2 11 LYM1025 0.72 4.57E−02 5 18 LYM1025 0.77 1.56E−02 4 12 LYM1026 0.94 4.90E−03 1 12 LYM1026 0.90 1.43E−02 1 19 LYM1026 0.71 1.13E−01 1 5 LYM1026 0.79 6.05E−02 1 6 LYM1026 0.91 1.23E−02 1 21 LYM1026 0.72 4.39E−02 3 21 LYM1026 0.71 3.18E−02 6 4 LYM1026 0.71 7.22E−02 2 17 LYM1026 0.78 3.77E−02 2 11 LYM1026 0.71 4.90E−02 5 18 LYM1026 0.83 3.92E−02 5 8 LYM1026 0.84 4.92E−03 4 24 LYM1026 0.91 6.44E−04 4 18 LYM1026 0.76 1.86E−02 4 4 LYM1027 0.82 4.78E−02 1 13 LYM1027 0.70 1.21E−01 1 2 LYM1027 0.77 7.42E−02 1 15 LYM1027 0.83 1.01E−02 3 22 LYM1027 0.71 7.42E−02 2 1 LYM1027 0.80 1.75E−02 5 10 LYM1027 0.77 2.65E−02 5 12 LYM1027 0.78 2.27E−02 5 2 LYM1027 0.91 1.78E−03 5 15 LYM1028 0.86 2.94E−02 1 11 LYM1028 0.80 3.21E−02 3 14 LYM1028 0.80 2.96E−02 6 14 LYM1028 0.82 2.49E−02 2 11 LYM1028 0.94 4.77E−03 5 14 LYM1028 0.75 3.33E−02 5 5 LYM1028 0.92 3.52E−03 4 14 LYM1029 0.74 2.15E−02 6 19 LYM1029 0.76 4.65E−02 2 20 LYM1029 0.81 8.40E−03 4 13 LYM1030 0.72 3.00E−02 6 17 LYM1030 0.84 3.65E−02 5 14 LYM1030 0.73 2.47E−02 4 20 LYM1031 0.76 8.23E−02 1 22 LYM1031 0.86 5.76E−03 5 22 LYM1032 0.94 5.86E−03 1 17 LYM1032 0.75 3.31E−02 3 13 LYM1032 0.73 3.78E−02 3 2 LYM1032 0.98 2.26E−05 3 15 LYM1032 0.79 1.96E−02 5 10 LYM1032 0.81 1.53E−02 5 12 LYM1032 0.79 1.97E−02 5 2 LYM1032 0.82 1.25E−02 5 15 LYM1032 0.86 1.39E−02 4 14 LYM1033 0.74 9.18E−02 1 17 LYM1033 0.73 4.12E−02 3 12 LYM1033 0.72 4.21E−02 3 22 LYM1034 0.75 8.80E−02 1 7 LYM1034 0.88 2.20E−02 1 12 LYM1034 0.77 7.38E−02 1 25 LYM1034 0.75 8.88E−02 1 6 LYM1034 0.84 3.73E−02 1 21 LYM1034 0.73 3.98E−02 3 20 LYM1034 0.79 1.95E−02 3 18 LYM1034 0.79 2.06E−02 5 20 LYM1034 0.89 3.46E−03 5 18 LYM1034 0.89 1.44E−03 4 18 LYM1035 0.84 3.80E−02 1 23 LYM1035 0.74 9.58E−02 1 6 LYM1035 0.73 6.10E−02 3 8 LYM1035 0.76 1.68E−02 6 20 LYM1035 0.73 2.48E−02 6 23 LYM1035 0.73 6.19E−02 6 8 LYM1035 0.86 1.29E−02 2 9 LYM1035 0.98 8.21E−04 5 14 LYM1035 0.71 4.91E−02 5 15 LYM1035 0.86 1.36E−02 4 14 LYM1036 0.74 9.34E−02 1 10 LYM1036 0.75 8.62E−02 1 24 LYM1036 0.94 4.82E−03 1 13 LYM1036 0.96 1.88E−03 1 2 LYM1036 0.99 8.43E−05 1 15 LYM1036 0.72 1.04E−01 1 1 LYM1036 0.85 6.94E−03 3 20 LYM1036 0.79 1.07E−02 6 5 LYM1036 0.78 1.39E−02 6 6 LYM1036 0.82 7.43E−03 6 21 LYM1036 0.74 3.74E−02 5 18 LYM1036 0.75 3.39E−02 5 21 LYM1036 0.77 1.60E−02 4 20 LYM1036 0.78 1.27E−02 4 18 LYM1037 0.73 1.00E−01 1 17 LYM1037 0.73 3.84E−02 3 22 LYM1037 0.71 4.72E−02 3 15 LYM1037 0.85 1.44E−02 2 17 LYM1037 0.76 2.94E−02 5 17 LYM1038 0.75 3.26E−02 3 22 LYM1038 0.71 3.12E−02 6 16 LYM1038 0.81 1.47E−02 5 15 LYM1038 0.78 2.13E−02 5 1 LYM1038 0.85 3.00E−02 5 8 LYM1040 0.71 1.12E−01 1 13 LYM1040 0.70 1.21E−01 1 11 LYM1040 0.92 1.17E−05 3 17 LYM1040 0.81 7.64E−03 6 10 LYM1040 0.79 3.35E−02 2 23 LYM1040 0.81 2.83E−02 2 15 LYM1040 0.75 3.15E−02 5 5 LYM1040 0.74 3.64E−02 5 4 LYM1040 0.80 3.14E−02 4 8 LYM1041 0.73 3.98E−02 5 18 LYM1041 0.82 6.36E−03 4 18 LYM1042 0.78 6.96E−02 1 12 LYM1042 0.72 1.06E−01 1 21 LYM1042 0.89 2.79E−03 3 20 LYM1042 0.74 2.23E−02 6 17 LYM1042 0.92 1.39E−03 5 20 LYM1043 0.73 3.95E−02 3 20 LYM1043 0.73 2.69E−02 6 19 LYM1043 0.92 5.38E−04 4 18 LYM1044 0.83 4.16E−02 1 23 LYM1044 0.70 1.20E−01 1 25 LYM1044 0.70 1.20E−01 1 6 LYM1044 0.82 1.26E−02 3 20 LYM1044 0.95 2.39E−04 3 24 LYM1044 0.73 6.21E−02 2 21 LYM1044 0.87 2.11E−03 4 20 LYM1044 0.73 2.55E−02 4 23 LYM1046 0.86 2.68E−02 1 17 LYM1046 0.79 6.05E−02 1 1 LYM1046 0.86 5.63E−03 3 2 LYM1046 0.73 3.98E−02 3 1 LYM1047 0.70 1.21E−01 1 18 LYM1047 0.94 5.72E−04 3 2 LYM1047 0.80 1.72E−02 3 15 LYM1047 0.84 8.91E−03 5 12 LYM1048 0.73 1.01E−01 1 17 LYM1048 0.78 6.49E−02 1 1 LYM1048 0.71 5.05E−02 3 22 LYM1048 0.73 4.19E−02 3 2 LYM1048 0.75 2.13E−02 6 15 LYM1048 0.73 6.08E−02 2 1 LYM1048 0.98 8.86E−04 5 8 LYM1048 0.72 6.71E−02 4 8 LYM1049 0.78 6.84E−02 1 21 LYM1051 0.77 7.22E−02 1 11 LYM1052 0.82 4.55E−02 1 12 LYM1052 0.79 6.37E−02 1 21 LYM1052 0.97 5.61E−05 3 25 LYM1052 0.82 2.53E−02 2 25 LYM1052 0.82 2.53E−02 2 18 LYM1052 0.74 2.13E−02 4 18 LYM1053 0.82 1.25E−02 3 22 LYM1053 0.83 5.68E−03 6 9 LYM1053 0.77 2.59E−02 5 9 LYM1054 0.77 7.05E−02 1 1 LYM1054 0.84 8.86E−03 3 22 LYM1054 0.75 3.25E−02 5 10 LYM1054 0.80 1.81E−02 5 2 LYM1054 0.74 3.51E−02 5 15 LYM1054 0.72 1.05E−01 5 8 LYM1055 0.85 3.34E−02 1 17 LYM1055 0.73 4.01E−02 3 12 LYM1055 0.77 2.68E−02 3 22 LYM1055 0.88 8.87E−03 2 11 LYM1056 0.83 4.00E−02 1 25 LYM1056 0.78 6.46E−02 1 18 LYM1056 0.70 5.09E−02 3 22 LYM1056 0.78 1.37E−02 6 12 LYM1056 0.78 1.39E−02 6 15 LYM1057 0.86 2.62E−02 1 17 LYM1057 0.83 1.09E−02 3 24 LYM1057 0.81 1.45E−02 3 4 LYM1057 0.76 1.70E−02 6 25 LYM1057 0.71 7.31E−02 2 17 LYM1057 0.84 1.91E−02 2 11 LYM1057 0.91 1.57E−03 5 7 LYM1057 0.72 4.62E−02 5 19 LYM1057 0.88 4.02E−03 5 5 LYM1057 0.92 1.06E−03 5 6 LYM1057 0.85 6.85E−03 5 21 LYM1057 0.70 3.47E−02 4 11 LYM1058 0.79 5.93E−02 1 17 LYM1058 0.71 5.00E−02 3 12 LYM1058 0.71 4.79E−02 3 22 LYM1058 0.71 4.81E−02 3 2 LYM1059 0.83 4.00E−02 1 25 LYM1059 0.70 1.21E−01 1 18 LYM1059 0.81 2.60E−02 6 8 LYM1059 0.72 6.70E−02 2 20 LYM1059 0.86 2.81E−02 5 8 LYM1059 0.73 2.50E−02 4 20 LYM1060 0.86 2.87E−02 1 12 LYM1060 0.77 7.49E−02 1 25 LYM1060 0.85 8.10E−03 5 23 LYM1060 0.87 4.66E−03 5 25 LYM1060 0.84 4.92E−03 4 20 LYM1060 0.70 3.55E−02 4 23 LYM1061 0.91 1.14E−02 1 13 LYM1061 0.78 6.88E−02 1 2 LYM1061 0.89 1.82E−02 1 15 LYM1061 0.77 2.42E−02 3 20 LYM1061 0.75 3.29E−02 3 21 LYM1061 0.71 3.33E−02 4 20 LYM1062 0.89 1.80E−02 1 11 LYM1062 0.77 4.13E−02 2 1 LYM1063 0.70 1.19E−01 1 20 LYM1063 0.84 3.46E−02 1 12 LYM1063 0.81 5.02E−02 1 25 LYM1063 0.82 1.17E−02 3 12 LYM1063 0.71 7.13E−02 2 23 LYM1063 0.76 4.97E−02 2 12 LYM1063 0.77 4.46E−02 2 25 LYM1063 0.78 2.27E−02 5 12 LYM1064 0.70 1.19E−01 1 20 LYM1064 0.79 5.93E−02 1 12 LYM1064 0.76 2.93E−02 3 20 LYM1064 0.76 2.70E−02 3 23 LYM1064 0.78 2.29E−02 3 18 LYM1064 0.81 8.67E−03 6 7 LYM1064 0.75 1.95E−02 6 6 LYM1064 0.72 6.61E−02 2 25 LYM1064 0.78 3.92E−02 2 18 LYM1064 0.73 4.10E−02 5 20 LYM1064 0.85 4.13E−03 4 20 LYM1065 0.72 1.10E−01 1 20 LYM1065 0.74 3.46E−02 3 24 LYM1066 0.74 9.16E−02 1 20 LYM1066 0.91 1.24E−02 1 9 LYM1066 0.90 6.35E−03 2 20 LYM1066 0.86 2.89E−02 5 14 LYM1068 0.78 6.76E−02 1 22 LYM1068 0.71 3.15E−02 6 20 LYM1068 0.76 1.86E−02 6 21 LYM1068 0.81 2.59E−02 2 2 LYM1068 0.83 2.23E−02 2 15 LYM1068 0.82 1.32E−02 5 10 LYM1068 0.82 1.27E−02 5 12 LYM1068 0.76 2.92E−02 5 2 LYM1069 0.75 8.89E−02 1 17 LYM1069 0.73 4.12E−02 3 12 LYM1069 0.77 2.45E−02 3 22 LYM1069 0.79 1.88E−02 3 2 LYM1069 0.75 3.39E−02 3 15 LYM1069 0.70 3.42E−02 4 5 LYM1069 0.76 1.71E−02 4 9 LYM1070 0.84 3.56E−02 1 13 LYM1070 0.73 9.81E−02 1 2 LYM1070 0.81 4.86E−02 1 15 LYM1070 0.71 4.89E−02 3 22 LYM1070 0.75 3.24E−02 3 25 LYM1070 0.74 2.24E−02 6 6 LYM1070 0.75 5.20E−02 2 13 LYM1070 0.81 2.59E−02 2 15 LYM1070 0.77 2.52E−02 5 10 LYM1070 0.75 3.06E−02 5 2 LYM1070 0.72 4.22E−02 5 15 LYM1070 0.83 3.98E−02 5 8 LYM1070 0.85 3.80E−03 4 20 LYM1071 0.78 2.17E−02 3 10 LYM1071 0.78 2.15E−02 3 12 LYM1071 0.83 1.96E−02 2 22 LYM1071 0.79 3.37E−02 2 9 LYM1071 0.77 2.51E−02 5 5 LYM1071 0.73 4.08E−02 5 15 LYM1071 0.86 1.20E−02 4 14 LYM1071 0.88 1.80E−03 4 22 LYM1071 0.73 2.43E−02 4 15 LYM1072 0.79 5.90E−02 1 25 LYM1072 0.80 1.82E−02 5 7 LYM1072 0.70 5.26E−02 5 25 LYM1072 0.81 1.45E−02 5 6 LYM1072 0.86 3.00E−02 5 8 LYM1072 0.74 3.42E−02 5 21 LYM1072 0.82 6.70E−03 4 24 LYM1072 0.78 1.29E−02 4 11 LYM1072 0.73 2.41E−02 4 4 LYM1073 0.77 7.44E−02 1 23 LYM1073 0.74 9.54E−02 1 25 LYM1073 0.76 8.19E−02 1 6 LYM1073 0.92 1.30E−03 3 20 LYM1073 0.82 1.29E−02 3 24 LYM1073 0.85 1.65E−02 6 8 LYM1073 0.79 3.43E−02 2 7 LYM1073 0.82 2.52E−02 2 5 LYM1073 0.89 6.79E−03 2 6 LYM1073 0.71 7.59E−02 2 18 LYM1073 0.85 1.51E−02 2 21 LYM1073 0.76 1.76E−02 4 20 LYM1073 0.77 1.46E−02 4 23 LYM1074 0.79 6.27E−02 1 25 LYM1074 0.79 3.31E−02 2 17 LYM1074 0.85 3.28E−02 5 14 LYM1074 0.73 4.03E−02 5 15 LYM1074 0.73 9.83E−02 5 8 LYM1075 0.89 1.90E−02 1 22 LYM1075 0.84 3.53E−02 1 11 LYM1075 0.82 1.28E−02 3 22 LYM1075 0.71 7.65E−02 6 8 LYM1075 0.70 3.43E−02 6 16 LYM1075 0.84 8.99E−03 5 13 LYM1075 0.81 1.46E−02 5 11 LYM1076 0.92 1.04E−02 1 11 LYM1076 0.72 4.59E−02 3 2 LYM1234 0.79 6.00E−02 1 11 LYM1234 0.70 5.15E−02 3 20 LYM1234 0.71 4.79E−02 3 23 LYM1234 0.81 1.56E−02 3 21 LYM1234 0.73 6.18E−02 2 25 LYM1234 0.77 2.54E−02 5 18 LYM1234 0.72 6.87E−02 4 8 Table 31. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal, low nitrogen and drought conditions across barley varieties. P = p value.

Example 7 Production of Brachypodium Transcriptome and High Throughput Correlation Analysis Using 60K Brachypodium Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a brachypodium oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 60K brachypodium genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 24 different brachypodium accessions were analyzed. Among them, 22 accessions encompassing the observed variance were selected for RNA expression analysis and comparative genomic hybridization (CGH) analysis.

The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739 (dot) html].

Additional correlation analysis was done by comparing plant phenotype and gene copy number. The correlation between the normalized copy number hybridization signal and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739(dot)html].

Experimental Procedures

Analyzed Brachypodium tissues—two tissues [leaf and spike] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 32 below.

TABLE 32 Brachypodium transcriptome expression sets Expression Set Set ID Leaf at flowering stage under normal growth conditions 1 Leaf at flowering stage under normal growth conditions 2 spike at flowering stage under normal growth conditions 3 Table 32. From set ID No. 1 the sample was used to extract DNA; from set ID No. 2 and 3 the samples were used to extract RNA.

Brachypodium yield components and vigor related parameters assessment—24 brachypodium accessions were grown in 4-6 repetitive plots (8 plant per plot), in a green house. The growing protocol was as follows: brachypodium seeds were sown in plots and grown under normal condition. Plants were continuously phenotyped during the growth period and at harvest (Table 34-35, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih(dot)gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

At the end of the growing period the grains were separated from the spikes and the following parameters were measured using digital imaging system and collected:

No. of tillering—all tillers were counted per plant at harvest (mean per plot).

Head number—At the end of the experiment, heads were harvested from each plot and were counted.

Total Grains weight per plot (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Highest number of spikelets—The highest spikelet number per head was calculated per plant (mean per plot).

Mean number of spikelets—The mean spikelet number per head was calculated per plot.

Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to spike base of the longest spike at harvest.

Spikelets weight (gr.)—The biomass and spikes weight of each plot was separated, measured per plot.

Average head weight—calculated by dividing spikelets weight with head number (gr.).

Harvest Index—harvest index was performed using Formula LXV above.

Spikelets Index—Spikelets index was performed using Formula XXXI.

Percent Number of heads with spikelets—The number of heads with more than one spikelet per plant were counted and the percent from all heads per plant was calculated.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the spikelet dry weight per plot.

1000 grain weight—At the end of the experiment all grains from all plots were collected and weighted and the weight of 1000 were calculated.

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the spikes and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of −200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length, perimeter and width (cm)—A sample of −200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes rsbweb(dot)nih(dot)gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

TABLE 33 Brachypodium correlated parameters (vectors) Correlated parameter with Correlation ID % Num of heads with spikelets 1 1000 grain weight (g) 2 Average head weight (g) 3 Grain Perimeter (cm) 4 Grain area (cm²) 5 Grain length (cm) 6 Grain width (cm) 7 Grains weight per plant (g) 8 Grains weight per plot (g) 9 Harvest index (value) 10 Heads per plant (number) 11 Heads per plot (number) 12 Highest num of spikelets per plot 13 Mean num of spikelets per plot 14 Num of heads with spikelets per plant 15 Plant height (cm) 17 Plant Vegetative DW (g) 16 Plants num 18 Spikelets DW per plant (g) 19 Spikelets weight (g) 20 Spikes index (g) 21 Tillering (number) 22 Total dry mater per plant (g) 23 Total dry mater per plot (g) 24 Vegetative DW (g) 25 Table 33. Provided are the Brachypodium correlated parameters. “num” = number.

Experimental Results

24 different Brachypodium accessions were grown and characterized for different parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 34-35 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters (Table 36) was conducted. Follow, results were integrated to the database.

TABLE 34 Measured parameters of correlation IDs in Brachypodium accessions under normal conditions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 1 27.61 35.33 21.67 52.40 20.84 47.73 17.55 16.51 2 3.75 3.78 3.35 3.70 3.90 4.87 4.82 4.76 3 0.057 0.044 0.049 0.087 0.040 0.087 0.060 0.055 4 1.67 1.62 1.62 1.65 1.60 1.90 1.80 1.82 5 0.102 0.096 0.094 0.088 0.086 0.113 0.105 0.111 6 0.733 0.719 0.717 0.750 0.724 0.871 0.794 0.789 7 0.178 0.168 0.167 0.149 0.151 0.165 0.168 0.180 8 0.14 0.06 0.08 0.35 0.27 0.44 0.32 0.07 9 1.05 0.44 0.61 2.58 2.03 3.40 2.58 0.39 10 0.13 0.14 0.15 0.21 0.17 0.18 0.15 0.11 11 16.29 7.08 6.59 16.11 21.40 17.05 25.88 8.02 12 121.75 56.60 52.75 123.50 156.83 135.00 207.00 48.60 13 3.00 2.60 3.00 2.83 2.33 4.50 2.60 2.00 14 2.10 2.10 1.72 2.17 1.85 2.85 1.93 1.56 15 5.27 2.50 2.06 9.44 5.02 7.72 4.90 1.87 16 0.42 0.12 0.13 0.82 0.67 1.05 0.87 0.31 17 31.65 23.44 22.75 45.35 29.41 46.74 38.39 29.15 18 7.50 8.00 8.00 7.50 7.33 7.88 8.00 6.40 19 0.96 0.31 0.33 1.46 0.96 1.42 1.56 0.45 20 7.18 2.50 2.68 11.31 7.16 11.05 12.44 2.66 21 0.71 0.72 0.73 0.68 0.60 0.57 0.65 0.60 22 16.84 7.20 7.00 16.99 23.61 18.25 27.20 8.60 23 1.38 0.43 0.47 2.28 1.63 2.47 2.43 0.76 24 10.26 3.45 3.74 17.78 12.29 19.27 19.40 4.47 25 3.08 0.95 1.06 6.47 5.13 8.23 6.96 1.81 Table 34. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 33 above [Brachypodium correlated parameters (vectors)].

TABLE 35 Measured parameters of correlation IDs in brachypodium accessions under normal conditions Ecotype/ Treatment Line-9 Line-10 Line-11 Line-12 Line-13 Line-14 Line-15 1 5.42 15.42 14.00 6.40 4.51 15.52 20.34 2 5.54 4.98 4.88 4.83 5.54 4.73 5.24 3 0.040 0.056 0.075 0.048 0.042 0.048 0.053 4 1.82 1.83 1.69 1.74 1.93 1.69 1.91 5 0.105 0.111 0.094 0.102 0.110 0.100 0.124 6 0.833 0.824 0.740 0.781 0.896 0.748 0.857 7 0.161 0.172 0.162 0.166 0.155 0.169 0.185 8 0.14 0.14 0.26 0.14 0.11 0.39 0.14 9 1.11 1.07 1.96 1.09 0.84 3.07 1.09 10 0.20 0.16 0.20 0.14 0.26 0.22 0.09 11 10.48 9.09 11.63 14.13 5.88 23.75 16.06 12 82.40 70.13 83.40 110.33 47.00 185.50 125.00 13 2.00 2.25 2.20 1.83 2.00 2.50 2.40 14 1.38 1.65 1.69 1.43 1.25 1.76 1.83 15 0.71 1.94 2.08 1.08 0.35 4.98 3.70 16 0.32 0.32 0.38 0.39 0.13 0.87 0.69 17 34.36 28.65 31.95 28.88 24.74 37.30 45.09 18 7.80 7.75 7.20 7.83 8.00 7.75 8.00 19 0.44 0.56 0.88 0.67 0.26 1.14 0.83 20 3.45 4.29 6.42 5.29 2.04 8.89 6.65 21 0.58 0.66 0.71 0.64 0.66 0.59 0.54 22 10.67 9.38 11.97 14.58 6.35 25.50 16.56 23 0.76 0.88 1.25 1.06 0.38 2.01 1.53 24 6.00 6.78 9.12 8.34 3.04 15.79 12.20 25 2.55 2.48 2.69 3.05 1.00 6.89 5.55 Table 35. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 33 above [Brachypodium correlated parameters (vectors)].

TABLE 36 Measured parameters of correlation IDs in brachypodium accessions under normal conditions Ecotype/ Treatment Line-16 Line17 Line-18 Line-19 Line-20 Line-21 Line-22 1 8.11 53.21 55.41 47.81 42.81 59.01 34.92 2 4.96 4.00 3.84 4.26 5.99 3.76 4.34 3 0.057 0.104 0.078 0.079 0.082 0.090 0.064 4 1.71 1.81 1.68 1.75 1.87 1.68 1.66 5 0.100 0.096 0.101 0.090 0.117 0.092 0.091 6 0.744 0.839 0.748 0.802 0.842 0.764 0.736 7 0.171 0.146 0.171 0.143 0.177 0.152 0.157 8 0.13 0.37 0.08 0.49 0.31 0.30 0.20 9 1.07 2.99 0.50 3.52 2.41 1.92 1.47 10 0.18 0.09 0.07 0.16 0.18 0.09 0.11 11 9.74 22.19 11.89 24.32 13.25 25.54 19.22 12 80.75 177.50 81.50 172.80 98.60 177.00 143.17 13 2.00 3.50 3.50 3.80 2.80 3.17 2.83 14 1.42 2.71 2.41 2.61 2.12 2.79 2.15 15 0.89 12.58 7.59 12.13 6.35 15.36 7.15 16 0.34 1.72 0.44 1.32 0.48 1.73 0.63 17 22.39 55.04 31.40 45.34 40.20 58.82 39.18 18 8.25 8.00 6.50 7.00 7.60 6.83 7.33 19 0.59 2.27 0.92 1.91 1.09 2.25 1.26 20 4.92 18.15 6.25 13.49 8.35 15.55 9.42 21 0.68 0.56 0.69 0.59 0.70 0.57 0.66 22 10.53 27.15 12.38 26.30 13.56 29.09 20.79 23 0.93 3.99 1.36 3.23 1.57 3.98 1.89 24 7.76 31.94 9.21 22.78 12.04 27.67 14.14 25 2.84 13.80 2.96 9.28 3.70 12.12 4.72 Table 36. Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 33 above [Brachypodium correlated parameters (vectors)].

TABLE 37 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across brachypodium varieties Corr. Corr. Gene P Exp. Set Gene P Exp. Set Name R value set ID Name R value set ID LYM1099 0.85 5.21E−04 3 10 LYM1082 0.72 8.94E−03 3 7 LYM1082 0.73 7.32E−03 3 2 LYM1084 0.71 9.89E−03 3 23 LYM1084 0.83 8.85E−04 3 14 LYM1084 0.71 1.01E−02 3 22 LYM1084 0.80 1.76E−03 3 20 LYM1084 0.72 7.84E−03 3 1 LYM1084 0.88 1.85E−04 3 8 LYM1084 0.84 6.71E−04 3 9 LYM1084 0.83 7.36E−04 3 13 LYM1084 0.73 7.51E−03 3 24 LYM1084 0.72 8.26E−03 3 3 LYM1084 0.78 2.89E−03 3 19 LYM1084 0.71 1.03E−02 3 15 LYM1084 0.72 1.89E−02 2 22 LYM1092 0.71 1.48E−02 1 22 LYM1094 0.74 1.39E−02 2 22 LYM1096 0.72 1.32E−02 1 22 LYM1097 0.80 3.42E−03 1 22 Table 37. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Corr))] under normal conditions across brachypodium varieties. P = p value.

Example 8 Production of Foxtail Millet Transcriptome and High Throughput Correlation Analysis Using 60K Foxtaill Millet Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 60K foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different foxtail millet accessions were analyzed. Among them, 11 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739 (dot) html].

Experimental Procedures

Analyzed Foxtail millet tissues—three tissues at different developmental stages [leaf, flower, and stem], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 38 below.

TABLE 38 Foxtail millet transcriptome expression sets Expression Set Set ID Grain, grain filling stage, normal 1 Leaf, grain filling stage, normal 2 Stem, grain filling stage, normal 3 Flower, flowering stage, normal 4 Leaf, flowering stage, normal 5

Foxtaill millet yield components and vigor related parameters assessment—14 Foxtail millet accessions in 5 repetitive plots, in the field. Foxtaill millet seeds were sown in soil and grown under normal condition in the field. Plants were continuously phenotyped during the growth period and at harvest (Tables 40-41, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb(dot)nih(dot)gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

The following parameters were collected using digital imaging system:

At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:

(i) Average Grain Area (cm²)—A sample of −200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

(ii) Average Grain Length and width (cm)—A sample of −200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

At the end of the growing period 14 ‘Heads’ were photographed and images were processed using the below described image processing system.

(i) Head Average Area (cm²)—The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.

(ii) Head Average Length (mm)—The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb(dot)nih(dot)gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.

Total Grain Weight (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).

Head weight and head number—At the end of the experiment, heads were harvested from each plot and were counted and weighted (kg.).

Biomass at harvest—At the end of the experiment the vegetative material from plots was weighted.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at harvest.

Total dry mater per plot—Calculated as Vegetative portion above ground plus all the heads dry weight per plot.

Num days to anthesis—Calculated as the number of days from sowing till 50% of the plot arrive anthesis.

TABLE 39 Foxtail millet correlated parameters (vectors) Correlated parameter with Correlation ID 1000 grain weight (g) 1 Biomass at harvest at one meter (kg) 2 Grain area (cm²) 3 Grain length (cm) 4 Grain width (cm) 5 Grains yield per Head (plot) (g) 6 Head Area (cm²) 7 Head length (cm) 8 Heads num 9 Num days to Anthesis 10 Total Grains yield (g) 11 Total dry matter at one meter (kg) 12 Total heads weight (kg) 13 Table 39. Provided are the foxtail millet correlated parameters.

Experimental Results

14 different foxtail millet accessions were grown and characterized for different parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 40-41 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters (Table 42) was conducted. Follow, results were integrated to the database.

TABLE 40 Measured parameters of correlation IDs in foxtail millet accessions under normal conditions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 1 2.46 3.42 2.61 2.36 2.41 2.65 2.18 2 2.40 3.99 3.17 3.58 3.60 3.06 4.04 3 0.032 0.037 0.033 0.032 0.032 0.034 0.029 4 0.240 0.242 0.249 0.253 0.256 0.252 0.231 5 0.172 0.194 0.167 0.159 0.160 0.170 0.162 6 3.40 7.29 1.75 1.30 1.57 0.69 2.10 7 37.83 57.87 19.59 17.10 19.76 9.42 22.92 8 23.13 24.25 17.56 14.79 15.38 8.56 16.08 9 427.60 149.20 867.00 1204.00 1146.40 2132.00 752.20 10 34.00 41.00 45.00 41.00 41.00 30.00 38.00 11 1449.63 1067.88 1534.92 1567.20 1794.80 1476.11 1582.57 12 0.70 0.85 0.96 0.92 0.90 0.48 0.92 13 3.81 5.95 6.20 5.64 6.27 6.07 6.32 Table 40: Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 39 above [Foxtail millet correlated parameters (vectors)].

TABLE 41 Measured parameters of correlation IDs in foxtail millet accessions under normal conditions Ecotype/ Treatment Line-8 Line-9 Line-10 Line-11 Line-12 Line-13 Line-14 1 1.80 2.69 1.65 3.17 2.60 3.18 2.26 2 1.15 3.20 3.90 3.58 3.68 2.94 1.48 3 0.024 0.032 0.025 0.037 0.033 0.039 0.030 4 0.196 0.221 0.199 0.262 0.250 0.269 0.244 5 0.155 0.184 0.157 0.181 0.169 0.183 0.158 6 3.34 11.46 7.17 4.35 2.26 0.44 1.31 7 40.89 45.29 49.34 27.69 24.18 7.13 14.69 8 21.88 20.41 23.32 20.87 17.98 6.35 9.78 9 394.20 186.60 131.80 434.20 646.40 2797.80 994.60 10 30.00 38.00 51.00 44.00 51.00 31.00 27.00 11 1317.88 2131.60 937.93 1880.21 1427.12 1216.24 1296.69 12 0.45 0.59 1.00 0.91 1.03 0.62 0.46 13 2.82 7.25 5.24 6.58 5.85 5.62 2.73 Table 41: Correlation IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 39 above [Foxtail millet correlated parameters (vectors)].

TABLE 42 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across foxtail millet varieties Corr. Corr. Gene P Exp. Set Gene P Exp. Set Name R value set ID Name R value set ID LYM1100 0.80 5.28E−03 2 11 LYM1100 0.76 1.10E−02 2 8 LYM1100 0.78 7.55E−03 2 6 LYM1100 0.83 2.76E−03 2 7 LYM1100 0.73 3.85E−02 3 11 LYM1100 0.97 5.97E−05 3 6 LYM1100 0.88 4.43E−03 3 7 LYM1100 0.81 5.30E−02 1 13 LYM1100 0.84 3.66E−02 1 6 LYM1101 0.89 5.25E−04 2 13 LYM1101 0.78 8.25E−03 2 2 LYM1101 0.70 1.19E−01 1 13 LYM1101 0.73 9.65E−02 1 6 LYM1102 0.78 7.44E−03 2 1 LYM1102 0.72 1.96E−02 2 3 LYM1102 0.71 4.82E−02 3 1 LYM1102 0.77 2.56E−02 3 3 LYM1102 0.84 9.42E−03 3 9 LYM1102 0.81 5.29E−02 1 13 LYM1102 0.82 4.46E−02 1 6 LYM1103 0.72 1.06E−01 1 1 LYM1103 0.80 5.43E−02 1 8 LYM1103 0.75 8.51E−02 1 3 LYM1103 0.70 1.21E−01 1 7 LYM1104 0.71 4.81E−02 3 11 LYM1104 0.89 1.62E−02 1 10 LYM1104 0.71 1.17E−01 1 2 LYM1106 0.74 1.52E−02 2 5 LYM1107 0.83 3.96E−02 1 8 LYM1107 0.91 1.26E−02 1 6 LYM1107 0.85 3.06E−02 1 5 LYM1107 0.87 2.34E−02 1 7 LYM1108 0.72 1.10E−01 1 12 LYM1108 0.90 1.57E−02 1 4 LYM1108 0.83 4.18E−02 1 9 LYM1109 0.76 1.10E−02 2 13 LYM1109 0.77 9.26E−03 2 11 LYM1109 0.81 4.40E−03 2 10 LYM1109 0.79 6.77E−03 2 2 LYM1109 0.73 1.58E−02 2 6 LYM1109 0.84 3.63E−02 1 1 LYM1109 0.78 6.47E−02 1 3 LYM1109 0.81 5.11E−02 1 2 LYM1110 0.90 2.18E−03 3 6 LYM1110 0.75 3.06E−02 3 7 LYM1110 0.88 2.15E−02 1 8 LYM1110 0.73 9.88E−02 1 6 LYM1110 0.77 7.47E−02 1 5 LYM1110 0.83 4.10E−02 1 7 LYM1111 0.86 2.82E−02 1 8 LYM1111 0.75 8.83E−02 1 7 LYM1112 0.80 1.78E−02 3 11 LYM1112 0.71 1.10E−01 1 1 LYM1112 0.83 4.14E−02 1 4 LYM1112 0.85 3.07E−02 1 3 LYM1113 0.86 6.15E−03 3 12 LYM1113 0.72 4.38E−02 3 8 LYM1113 0.82 1.19E−02 3 10 LYM1113 0.72 1.06E−01 1 1 LYM1113 0.74 9.26E−02 1 10 LYM1114 0.96 2.16E−03 1 11 LYM1115 0.76 8.21E−02 1 8 LYM1115 0.84 3.65E−02 1 6 LYM1115 0.83 3.88E−02 1 5 LYM1115 0.85 3.26E−02 1 7 LYM1116 0.73 9.93E−02 1 1 LYM1116 0.74 9.46E−02 1 8 LYM1116 0.95 4.07E−03 1 6 LYM1116 0.94 5.84E−03 1 5 LYM1116 0.91 1.29E−02 1 7 LYM1117 0.82 1.25E−02 3 11 LYM1117 0.81 1.39E−02 3 8 LYM1117 0.84 8.67E−03 3 6 LYM1117 0.93 7.48E−04 3 7 LYM1117 0.73 9.99E−02 1 13 LYM1118 0.74 3.76E−02 3 13 LYM1118 0.85 7.54E−03 3 11 LYM1118 0.74 3.51E−02 3 6 LYM1118 0.72 4.46E−02 3 7 LYM1118 0.77 7.28E−02 1 11 LYM1119 0.89 1.87E−02 1 13 LYM1119 0.82 4.75E−02 1 11 LYM1119 0.80 5.85E−02 1 6 LYM1120 0.86 2.91E−02 1 8 LYM1120 0.71 1.11E−01 1 5 LYM1120 0.79 6.34E−02 1 7 LYM1121 0.76 8.19E−02 1 1 LYM1121 0.95 3.38E−03 1 8 LYM1121 0.87 2.49E−02 1 5 LYM1121 0.92 8.65E−03 1 7 LYM1122 0.90 2.05E−03 3 9 LYM1122 0.90 1.37E−02 1 1 LYM1122 0.76 8.23E−02 1 4 LYM1122 0.92 9.93E−03 1 8 LYM1122 0.82 4.80E−02 1 3 LYM1122 0.71 1.15E−01 1 9 LYM1122 0.99 2.89E−04 1 6 LYM1122 0.96 1.85E−03 1 5 LYM1122 0.98 4.28E−04 1 7 LYM1123 0.70 5.22E−02 3 4 LYM1123 0.72 4.29E−02 3 3 LYM1123 0.92 1.25E−03 3 9 LYM1123 0.88 2.19E−02 1 6 LYM1123 0.84 3.43E−02 1 5 LYM1123 0.81 4.82E−02 1 7 LYM1124 0.74 9.51E−02 1 6 LYM1125 0.72 1.79E−02 2 12 LYM1125 0.88 3.76E−03 3 12 LYM1125 0.89 3.06E−03 3 10 LYM1125 0.88 2.15E−02 1 12 LYM1126 0.91 1.13E−02 1 13 LYM1126 0.77 7.42E−02 1 11 LYM1126 0.83 3.98E−02 1 10 LYM1126 0.73 1.01E−01 1 3 LYM1127 0.71 2.08E−02 2 5 LYM1127 0.93 6.68E−04 3 6 LYM1127 0.80 1.64E−02 3 7 LYM1128 0.83 3.96E−02 1 13 LYM1128 0.89 1.73E−02 1 1 LYM1128 0.76 7.89E−02 1 11 LYM1128 0.89 1.88E−02 1 3 LYM1123 0.72 1.95E−02 5 1 LYM1100 0.85 1.69E−03 5 11 LYM1101 0.80 3.31E−03 4 12 LYM1101 0.76 6.46E−03 4 10 LYM1102 0.75 1.18E−02 5 11 LYM1103 0.80 3.40E−03 4 5 LYM1104 0.76 6.31E−03 4 10 LYM1108 0.79 3.65E−03 4 1 LYM1108 0.78 4.23E−03 4 3 LYM1110 0.75 8.36E−03 4 12 LYM1110 0.85 1.05E−03 4 10 LYM1116 0.71 2.07E−02 5 11 LYM1118 0.86 1.23E−03 5 11 LYM1120 0.85 1.86E−03 5 11 Table 42. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal, low nitrogen and drought conditions across foxtail millet varieties. P = p value.

Example 9 Production of Soybean (Glycine max) Transcriptome and High Throughput Correlation Analysis with Yield Parameters Using 44K B. Soybean Oligonucleotide Micro-Arrays

In order to produce a high throughput correlation analysis, the present inventors utilized a Soybean oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 42,000 Soybean genes and transcripts. In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or plant vigor related parameters, various plant characteristics of 29 different Glycine max varieties were analyzed and 12 varieties were further used for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test.

Correlation of Glycine max Genes' Expression Levels with Phenotypic Characteristics Across Ecotype

Experimental Procedures

29 Soybean varieties were grown in three repetitive plots, in field. Briefly, the growing protocol was as follows: Soybean seeds were sown in soil and grown under normal conditions until harvest. In order to define correlations between the levels of RNA expression with yield components or plant architecture related parameters or vigor related parameters, 12 different Soybean varieties (out of 29 varieties) were analyzed and used for gene expression analyses. Analysis was performed at two pre-determined time periods: at pod set (when the soybean pods are formed) and at harvest time (when the soybean pods are ready for harvest, with mature seeds).

TABLE 43 Soybean transcriptome expression sets Expression Set Set ID Apical meristem at vegetative stage under normal growth condition 1 Leaf at vegetative stage under normal growth condition 2 Leaf at flowering stage under normal growth condition 3 Leaf at pod setting stage under normal growth condition 4 Root at vegetative stage under normal growth condition 5 Root at flowering stage under normal growth condition 6 Root at pod setting stage under normal growth condition 7 Stem at vegetative stage under normal growth condition 8 Stem at pod setting stage under normal growth condition 9 Flower bud at flowering stage under normal growth condition 10 Pod (R3-R4) at pod setting stage under normal growth condition 11

RNA extraction—All 12 selected Soybean varieties were sample per treatment. Plant tissues [leaf, root. Stem, pod, apical meristem, flower buds] growing under normal conditions were sampled and RNA was extracted as described above. The collected data parameters were as follows: Main branch base diameter [mm] at pod set—the diameter of the base of the main branch (based diameter) average of three plants per plot.

Fresh weight [gr./plant] at pod set—total weight of the vegetative portion above ground (excluding roots) before drying at pod set, average of three plants per plot.

Dry weight [gr./plant] at pod set—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at pod set, average of three plants per plot.

Total number of nodes with pods on lateral branches [value/plant]—counting of nodes which contain pods in lateral branches at pod set, average of three plants per plot.

Number of lateral branches at pod set [value/plant]—counting number of lateral branches at pod set, average of three plants per plot.

Total weight of lateral branches at pod set [gr./plant]—weight of all lateral branches at pod set, average of three plants per plot.

Total weight of pods on main stem at pod set [gr./plant]—weight of all pods on main stem at pod set, average of three plants per plot.

Total number of nodes on main stem [value/plant]—count of number of nodes on main stem starting from first node above ground, average of three plants per plot.

Total number of pods with 1 seed on lateral branches at pod set [value/plant]—count of the number of pods containing 1 seed in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 2 seeds on lateral branches at pod set [value/plant]—count of the number of pods containing 2 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 3 seeds on lateral branches at pod set [value/plant]—count of the number of pods containing 3 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 4 seeds on lateral branches at pod set [value/plant]—count of the number of pods containing 4 seeds in all lateral branches at pod set, average of three plants per plot.

Total number of pods with 1 seed on main stem at pod set [value/plant]—count of the number of pods containing 1 seed in main stem at pod set, average of three plants per plot.

Total number of pods with 2 seeds on main stem at pod set [value/plant]—count of the number of pods containing 2 seeds in main stem at pod set, average of three plants per plot.

Total number of pods with 3 seeds on main stem at pod set [value/plant]—count of the number of pods containing 3 seeds in main stem at pod set, average of three plants per plot.

Total number of pods with 4 seeds on main stem at pod set [value/plant]—count of the number of pods containing 4 seeds in main stem at pod set, average of three plants per plot.

Total number of seeds per plant at pod set [value/plant]—count of number of seeds in lateral branches and main stem at pod set, average of three plants per plot.

Total number of seeds on lateral branches at pod set [value/plant]—count of total number of seeds on lateral branches at pod set, average of three plants per plot.

Total number of seeds on main stem at pod set [value/plant]—count of total number of seeds on main stem at pod set, average of three plants per plot.

Plant height at pod set [cm/plant]—total length from above ground till the tip of the main stem at pod set, average of three plants per plot.

Plant height at harvest [cm/plant]—total length from above ground till the tip of the main stem at harvest, average of three plants per plot.

Total weight of pods on lateral branches at pod set [gr./plant]—weight of all pods on lateral branches at pod set, average of three plants per plot.

Ratio of the number of pods per node on main stem at pod set—was performed using Formula XXIII above, average of three plants per plot.

Ratio of total number of seeds in main stem to number of seeds on lateral branches—was performed using Formula XXIV above, average of three plants per plot.

Total weight of pods per plant at pod set [gr./plant]—weight of all pods on lateral branches and main stem at pod set, average of three plants per plot.

Days till 50% flowering [days]—number of days till 50% flowering for each plot.

Days till 100% flowering [days]—number of days till 100% flowering for each plot.

Maturity [days]—measure as 95% of the pods in a plot have ripened (turned 100% brown). Delayed leaf drop and green stems are not considered in assigning maturity. Tests are observed 3 days per week, every other day, for maturity. The maturity date is the date that 95% of the pods have reached final color. Maturity is expressed in days after August 31 [according to the accepted definition of maturity in USA, Descriptor list for SOYBEAN, ars-grin(dot)gov/cgi-bin/npgs/html/desclist (dot)pl?51].

Seed quality [ranked 1-5]—measure at harvest; a visual estimate based on several hundred seeds. Parameter is rated according to the following scores considering the amount and degree of wrinkling, defective coat (cracks), greenishness, and moldy or other pigment. Rating is 1-very good, 2-good, 3-fair, 4-poor, 5-very poor.

Lodging [ranked 1-5]—was rated at maturity per plot according to the following scores: 1-most plants in a plot are erected; 2-all plants leaning slightly or a few plants down; 3-all plants leaning moderately, or 25%-50% down; 4-all plants leaning considerably, or 50%-80% down; 5-most plants down. Note: intermediate score such as 1.5 are acceptable.

Seed size [gr.]—weight of 1000 seeds per plot normalized to 13% moisture, measure at harvest.

Total weight of seeds per plant [gr./plant]—calculated at harvest (per 2 inner rows of a trimmed plot) as weight in grams of cleaned seeds adjusted to 13% moisture and divided by the total number of plants in two inner rows of a trimmed plot.

Yield at harvest [bushels/hectare]—calculated at harvest (per 2 inner rows of a trimmed plot) as weight in grams of cleaned seeds, adjusted to 13% moisture, and then expressed as bushels per acre.

Average lateral branch seeds per pod [number]—Calculate Num of Seeds on lateral branches-at pod set and divide by the Number of Total number of pods with seeds on lateral branches-at pod set.

Average main stem seeds per pod [number]—Calculate Total Number of Seeds on main stem at pod set and divide by the Number of Total number of pods with seeds on main stem at pod setting.

Main stem average internode length [cm]—Calculate Plant height at pod set and divide by the Total number of nodes on main stem at pod setting.

Total num of pods with seeds on main stem [number]—count all pods containing seeds on the main stem at pod setting.

Total num of pods with seeds on lateral branches [number]—count all pods containing seeds on the lateral branches at pod setting.

Total number of pods per plant at pod set [number]—count pods on main stem and lateral branches at pod setting.

Experimental Results

Twelve different Soybean varieties lines 1-12 were grown and characterized for 34 parameters as specified above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 45-46 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Table 47). Follow, results were integrated to the database.

TABLE 44 Soybean correlated parameters (vectors) Correlated parameter with Correlation ID 100 percent flowering (days) 1 50 percent flowering (days) 2 Base diameter at pod set (mm) 3 DW at pod set (gr) 4 Lodging (score 1-5) 5 Maturity (days) 6 Num of lateral branches (number) 7 Num of pods with 1 seed on main stem at 8 pod set (number) Num of pods with 2 seed on main stem (number) 9 Num of pods with 3 seed on main stem (number) 10 Num of pods with 4 seed on main stem (number) 11 Plant height at harvest (cm) 12 Plant height at pod set (cm) 13 Ratio number of pods per node on main stem (ratio) 14 Ratio number of seeds per main stem to seeds 15 per lateral branch (ratio) Seed quality (score 1-5) 16 Total Number of Seeds on lateral branches 18 Seed size (gr) 18 Total Number of Seeds on main stem at pod set 19 Total no of pods with 1 seed on lateral branch (number) 20 Total no of pods with 2 seed on lateral branch (number) 21 Total no of pods with 3 seed on lateral branch (number) 22 Total no of pods with 4 seed on lateral branch (number) 23 Total number of nodes on main stem (number) 24 Total number of nodes with pods on 25 lateral branches (number) Total number of seeds per plant 26 Total weight of lateral branches at pod set (gr) 27 Total weight of pods on lateral branches (gr) 28 Total weight of pods on main stem at pod set (gr) 29 Total weight of pods per plant (gr) 30 Total weight of seeds per plant (gr/plant) 31 fresh weight at pod set (gr) 32 yield at harvest (bushel/hectare) 33 Average lateral branch seeds per pod (number) 34 Average main stem seeds per pod (number) 35 Main stem average internode length (cm/number) 36 Num pods with seeds on lateral branches-at 37 pod set (number) Total number of pods per plant at pod set (number) 38 Total number of pods with seeds on main 39 stem at pod set (number) Corrected Seed size (gr) 40

TABLE 45 Measured parameters in Soybean varieties (lines 1-6) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 67.33 71.67 67.67 67.33 60.00 74.00 2 61.00 65.33 60.67 61.00 54.67 68.33 3 8.33 9.54 9.68 8.11 8.82 10.12 4 53.67 50.33 38.00 46.17 60.83 55.67 5 1.67 1.83 1.17 1.67 2.67 2.83 6 24.00 43.67 30.33 30.33 38.33 40.00 7 9.00 8.67 9.11 9.89 7.67 17.56 8 1.11 4.38 1.44 1.44 4.56 1.67 9 16.89 16.25 13.22 16.89 27.00 8.11 10 29.56 1.75 19.78 22.33 11.67 22.78 11 0.00 0.00 0.11 0.11 0.00 0.44 12 96.67 76.67 67.50 75.83 74.17 76.67 13 86.78 69.56 62.44 70.89 69.44 63.89 14 2.87 1.38 2.13 2.26 2.60 1.87 15 0.89 0.90 0.87 0.89 2.32 0.37 16 2.33 3.50 3.00 2.17 2.83 2.00 17 89.00 219.33 93.00 86.00 191.33 71.33 18 150.89 55.89 134.00 160.44 75.44 324.63 19 123.56 43.89 87.67 102.67 93.56 88.00 20 1.56 3.00 1.78 1.78 5.67 5.63 21 17.00 18.75 26.44 32.33 21.56 33.50 22 38.44 2.00 26.44 31.33 8.89 82.00 23 0.00 0.00 0.00 0.00 0.00 1.50 24 16.56 16.78 16.11 18.11 16.78 17.11 25 23.00 16.00 23.11 33.00 15.22 45.25 26 274.44 99.78 221.67 263.11 169.00 412.50 27 67.78 63.78 64.89 74.89 54.00 167.22 28 26.00 14.89 20.11 20.11 21.11 30.25 29 22.11 14.33 16.00 15.00 33.78 9.00 30 48.11 29.22 36.11 35.11 54.89 38.88 31 15.09 10.50 17.23 16.51 12.06 10.25 32 170.89 198.22 152.56 163.89 224.67 265.00 33 47.57 43.77 50.37 56.30 44.00 40.33 34 2.67 1.95 2.43 2.53 2.13 2.68 35 2.60 1.89 2.52 2.53 2.17 2.59 36 5.24 4.15 3.91 3.92 4.15 3.74 37 57.00 28.56 54.67 65.44 36.11 122.63 38 104.56 51.67 89.22 106.22 79.33 155.63 39 47.56 23.11 34.56 40.78 43.22 33.00 40 89.00 93.00 86.00 71.33 Table 45

TABLE 46 Measured parameters in Soybean varieties (lines 7-12) Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 73.00 72.33 68.67 73.67 68.00 70.67 2 66.50 65.67 62.33 67.67 61.67 64.33 3 8.46 8.09 8.26 7.73 8.16 7.89 4 48.00 52.00 44.17 52.67 56.00 47.50 5 2.67 2.50 1.83 3.50 3.33 1.50 6 41.00 38.33 31.00 39.00 27.33 32.67 7 11.67 12.11 8.00 9.11 6.78 10.00 8 4.00 4.33 2.11 1.89 3.44 1.22 9 21.33 17.67 20.33 16.11 28.11 16.56 10 11.11 28.22 24.11 36.44 39.67 32.33 11 0.00 0.56 0.00 3.89 0.00 0.00 12 101.67 98.33 75.83 116.67 76.67 71.67 13 89.78 82.11 70.56 101.67 79.56 67.22 14 1.98 2.71 2.78 2.75 3.70 2.84 15 3.90 0.78 1.18 1.98 1.03 0.83 16 3.50 2.50 2.17 2.33 2.17 2.17 17 88.00 75.00 80.67 75.67 76.33 77.33 18 46.88 176.22 143.00 105.44 184.33 187.33 19 80.00 126.56 115.11 159.00 178.67 131.33 20 2.88 3.00 1.25 2.67 1.78 3.00 21 8.50 22.78 21.75 10.67 23.78 25.67 22 9.00 42.11 32.75 25.67 45.00 44.33 23 0.00 0.33 0.00 1.11 0.00 0.00 24 18.78 18.89 16.78 21.11 19.33 20.78 25 8.25 25.44 21.88 16.33 22.56 24.22 26 136.00 302.78 260.50 264.44 363.00 318.67 27 45.44 83.22 64.33 52.00 76.89 67.00 28 4.13 20.11 17.00 9.22 28.11 22.56 29 9.03 16.00 15.89 14.56 30.44 18.00 30 14.25 36.11 32.75 23.78 58.56 40.56 31 7.30 11.38 15.68 10.83 12.98 15.16 32 160.67 196.33 155.33 178.11 204.44 164.22 33 34.23 44.27 53.67 42.47 43.60 52.20 34 2.12 2.58 2.58 2.67 2.62 2.58 35 2.22 2.49 2.47 2.71 2.51 2.61 36 4.80 4.36 4.20 4.82 4.12 3.83 37 20.38 68.22 55.75 40.11 70.56 73.00 38 61.00 119.00 103.25 98.44 141.78 123.11 39 36.44 50.78 43.63 58.33 71.22 50.11 40 88.00 75.00 80.67 75.67 76.33 77.33 Table 46

TABLE 47 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across soybean varieties Corr. Corr. Gene P Exp. Set Gene P Exp. Set Name R value set ID Name R value set ID LYM1216 0.72 4.25E−02 9 7 LYM1216 0.76 4.35E−03 1 17 LYM1217 0.78 7.37E−03 7 31 LYM1217 0.81 4.15E−03 7 33 LYM1217 0.73 7.29E−03 10 23 LYM1218 0.74 1 46E−02 5 10 LYM1218 0.71 2.18E−02 5 19 LYM1218 0.72 1.82E−02 5 26 LYM1218 0.79 2.08E−02 9 12 LYM1218 0.84 6.97E−04 10 23 LYM1219 0.78 7.58E−03 5 2 LYM1219 0.78 7.26E−03 5 1 LYM1219 0.75 1.23E−02 8 22 LYM1219 0.70 2.31E−02 8 18 LYM1219 0.70 2.41E−02 8 2 LYM1219 0.72 1.93E−02 8 26 LYM1219 0.84 8.33E−03 9 17 LYM1219 0.73 7.16E−03 1 14 LYM1220 0.70 2.38E−02 8 9 LYM1220 0.73 3.84E−02 9 22 LYM1220 0.71 4.63E−02 9 18 LYM1220 0.74 3.41E−02 9 32 LYM1220 0.79 1.92E−02 9 5 LYM1220 0.78 2.15E−02 9 23 LYM1220 0.76 2.86E−02 9 27 LYM1220 0.72 4 42E−02 9 7 LYM1220 0.84 6.63E−04 10 9 LYM1220 0.78 2.69E−03 10 29 LYM1220 0.91 3.43E−05 10 17 LYM1221 0.73 1 62E−02 7 5 LYM1221 0.77 9.93E−03 5 14 LYM1221 0.72 1.92E−02 8 17 LYM1221 0.87 5.35E−03 9 15 LYM1221 0.76 2.95E−02 9 16 LYM1222 0.74 1.37E−02 8 11 LYM1222 0.82 3.63E−03 8 23 LYM1222 0.73 3.83E−02 9 31 LYM1222 0.72 4.48E−02 9 14 LYM1222 0.80 1.82E−02 9 29 LYM1222 0.82 9.76E−04 4 9 LYM1222 0.74 6.30E−03 4 30 LYM1222 0.71 9.31E−03 4 14 LYM1222 0.85 4.82E−04 4 29 LYM1223 0.86 1.36E−03 8 10 LYM1223 0.78 7.78E−03 8 19 LYM1223 0.74 3.69E−02 9 31 LYM1223 0.71 1.01E−02 10 13 LYM1223 0.75 5.28E−03 10 12 LYM1224 0.85 1.79E−03 5 31 LYM1224 0.85 1.98E−03 5 33 LYM1224 0.75 3.12E−02 9 29 LYM1224 0.79 2.37E−03 4 11 LYM1224 0.78 2.88E−03 1 23 LYM1224 0.71 9.14E−03 1 27 LYM1225 0.72 8.91E−03 11 5 LYM1225 0.79 2.06E−02 9 17 LYM1225 0.74 6.42E−03 4 33 LYM1225 0.71 9.14E−03 1 20 LYM1226 0.73 1.60E−02 7 32 LYM1226 0.81 1.50E−02 9 15 LYM1226 0.75 3.03E−02 9 13 LYM1226 0.77 2.68E−02 9 23 LYM1226 0.79 1.99E−02 9 7 LYM1226 0.70 1.09E−02 4 25 LYM1227 0.77 8.82E−03 7 21 LYM1227 0.78 7.79E−03 8 10 LYM1227 0.73 1.68E−02 8 11 LYM1227 0.72 4.31E−02 9 29 LYM1227 0.84 9.05E−03 9 17 LYM1227 0.78 3.07E−03 4 17 LYM1227 0.77 3.64E−03 1 17 LYM1227 0.74 5.73E−03 10 5 LYM1218 0.71 2.16E−02 5 38 LYM1218 0.73 3.88E−02 9 36 LYM1219 0.72 8.47E−03 11 36 LYM1219 0.74 1.35E−02 8 35 LYM1219 0.79 7.15E−03 8 34 LYM1220 0.71 5.02E−02 9 37 LYM1221 0.71 2.05E−02 5 39 LYM1223 0.82 3.79E−03 8 35 LYM1223 0.77 9.45E−03 8 34 LYM1223 0.74 6.02E−03 10 36 LYM1226 0.73 3.97E−02 9 36 LYM1227 0.86 1.33E−03 8 35 LYM1227 0.80 5.77E−03 8 34 LYM1227 0.74 9.72E−03 2 35 LYM1216 0.84 8.59E−03 5 40 LYM1217 0.76 2.98E−02 6 40 LYM1218 0.80 2.92E−02 9 40 LYM1219 0.80 1.69E−02 7 40 LYM1219 0.74 1.53E−02 11 40 LYM1219 0.78 2.32E−02 5 40 LYM1220 0.79 2.03E−02 8 40 LYM1220 0.83 2.20E−02 9 40 LYM1222 0.81 4.08E−03 1 40 LYM1223 0.77 2 65E−02 5 40 LYM1224 0.71 4.83E−02 5 40 LYM1224 0.85 7.12E−03 6 40 LYM1226 0.87 1.00E−02 9 40 Table 47. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, and plant architecture (Correlation vector (Corr))] under normal conditions across soybean varieties. P = p value.

Example 10 Production of Tomato Transcriptome and High Throughput Correlation Analysis Using 44K Tomato Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis between NUE related phenotypes and gene expression, the present inventors utilized a Tomato oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 44,000 Tomato genes and transcripts. In order to define correlations between the levels of RNA expression with NUE, ABST, yield components or vigor related parameters various plant characteristics of 18 different Tomato varieties were analyzed. Among them, 10 varieties encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739(dot)html].

Correlation of Tomato Varieties Across Ecotypes Grown Under Low Nitrogen, Drought and Regular Growth Conditions

Experimental Procedures:

10 Tomato varieties were grown in 3 repetitive blocks, each containing 6 plants per plot were grown at net house. Briefly, the growing protocol was as follows:

1. Regular growth conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m² of water per day and fertilized with NPK as recommended in protocols for commercial tomato production).

2. Low Nitrogen fertilization conditions: Tomato varieties were grown under normal conditions (4-6 Liters/m² per day and fertilized with NPK as recommended in protocols for commercial tomato production) until flower stage. At this time, Nitrogen fertilization was stopped.

3. Drought stress: Tomato variety was grown under normal conditions (4-6 Liters/m² per day) until flower stage. At this time, irrigation was reduced to 50% compared to normal conditions. Plants were phenotyped on a daily basis following the standard descriptor of tomato (Table 49). Harvest was conducted while 50% of the fruits were red (mature). Plants were separated to the vegetative part and fruits, of them, 2 nodes were analyzed for additional inflorescent parameters such as size, number of flowers, and inflorescent weight. Fresh weight of all vegetative material was measured. Fruits were separated to colors (red vs. green) and in accordance with the fruit size (small, medium and large). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute). Data parameters collected are summarized in Tables 50-52, herein below.

Analyzed Tomato tissues—Two tissues at different developmental stages [flower and leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 48 below.

TABLE 48 Tomato transcriptome expression sets Expression Set Set ID Leaf at reproductive stage under NUE conditions 1 Flower under normal conditions 2 Leaf at reproductive stage under normal conditions 3 Flower under drought conditions 4 Leaf at reproductive stage under drought conditions 5 Flower under NUE conditions 6 Table 48: Provided are the identification (ID) digits of each of the tomato expression sets.

Table 49 provides the tomato correlated parameters (Vectors). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 50-52 below. Subsequent correlation analysis was conducted (Table 53). Results were integrated to the database.

TABLE 49 Tomato correlated parameters (vectors) Correlated parameter with Correlation ID 100 weight green fruit [g] (Drought) 1 100 weight green fruit [g] (Low N) 2 100 weight green fruit [g] (Normal) 3 100 weight red fruit [g] (Drought) 4 100 weight red fruit [g] (Low N) 5 100 weight red fruit [g] (Normal) 6 Cluster Weight NUE/Normal [g] 7 FW NUE/Normal [g] 8 FW drought/Normal [g] 9 FW/Plant (NUE) [g] 10 FW/Plant (Normal) [g] 11 FW/Plant Drought [g] 12 Fruit Drought/NUE [g] 13 Fruit NUE/Normal [g] 14 Fruit Yield Drought/Normal [g] 15 Fruit Yield/Plant (NUE) [g] 16 Fruit Yield/Plant Drought [g] 17 Fruit yield /Plant (Normal) [g] 18 HI [yield/ yield + biomass] (Low N) 19 HI [yield/ yield + biomass] (Normal) 20 Leaflet Length [cm] (Low N) 21 Leaflet Length [cm] (Normal) 22 Leaflet Length [cm]) (Drought) 23 Leaflet Width [cm] (Low N) 24 Leaflet Width [cm] (Normal) 25 Leaflet Width [cm] (Drought) 26 NUE [yield/SPAD] (Low N) 27 NUE [yield/SPAD] (Normal) 28 NUE2 [total biomass/SPAD] (Low N) 29 NUE2 [total biomass/SPAD] (Normal) 30 NUpE [biomass/SPAD] (Low N) 31 NUpE [biomass/SPAD] (Normal) 32 No flowers (NUE) 33 No flowers (Normal) 34 Num of Flower Drought/NUE 35 Num of Flower Drought/Normal 36 Num of flowers (Drought) 37 Num. Flowers NUE/Normal 38 RWC (Normal) 39 RWC Drought 40 RWC Drought/Normal 41 RWC NUE 42 RWC NUE/Normal 43 SAPD 100% RWC NUE/Normal 44 SLA [leaf area/plant biomass] (Low N) 45 SLA [leaf area/plant biomass] (Normal) 46 SPAD (Normal) 47 SPAD 100% RWC (NUE) 48 SPAD 100% RWC (Normal) 49 SPAD NUE 50 SPAD NUE/Normal 51 Total Leaf Area [cm²] (Low N) 52 Total Leaf Area [cm²] (Normal) 53 Total Leaf Area [cm²]) (Drought) 54 Weight Flower clusters [g] (Normal) 55 Weight clusters (flowers) [g] (NUE) 56 Weight flower clusters [g] (Drought) 57 Yield/SLA (Low N) 58 Yield/SLA (Normal) 59 Yield/total leaf area (Low N) 60 Yield/total leaf area (Normal) 61 average red fruit weight [g] (NUE) 62 average red fruit weight [g] (Normal) 63 average red fruit weight [g] (Drought) 64 flower cluster weight Drought/NUE [g] 65 flower cluster weight Drought/Normal [g] 66 red fruit weight Drought/Normal [g] 67 Table 49. Provided are the tomato correlated parameters. “gr.” = grams; “FW” = fresh weight; “NUE” = nitrogen use efficiency; “RWC” = relative water content; “NUpE” = nitrogen uptake efficiency; “SPAD” = chlorophyll levels; “HI” = harvest index (vegetative weight divided on yield); “SLA” = specific leaf area (leaf area divided by leaf dry weight), Treatment in the parenthesis.

Fruit Weight (grams)—At the end of the experiment [when 50% of the fruits were ripe (red)] all fruits from plots within blocks A-C were collected. The total fruits were counted and weighted. The average fruits weight was calculated by dividing the total fruit weight by the number of fruits.

Plant vegetative Weight (grams)—At the end of the experiment [when 50% of the fruit were ripe (red)] all plants from plots within blocks A-C were collected. Fresh weight was measured (grams).

Inflorescence Weight (grams)—At the end of the experiment [when 50% of the fruits were ripe (red)] two Inflorescence from plots within blocks A-C were collected. The Inflorescence weight (gr.) and number of flowers per inflorescence were counted.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.

Water use efficiency (WUE)—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content was measured in control and transgenic plants. Fresh weight (FW) was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) was calculated according to the following Formula I [(FW−DW/TW−DW)×100] as described above.

Plants that maintain high relative water content (RWC) compared to control lines were considered more tolerant to drought than those exhibiting reduced relative water content

Experimental Results

TABLE 50 Measured parameters in Tomato accessions (lines 1-6) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 2 0.87 3.66 0.57 0.37 3.40 0.68 3 0.56 3.05 0.24 2.58 5 1.06 6.87 0.65 0.53 7.17 0.44 6 0.82 2.46 0.50 2.76 7 0.46 1.07 0.44 0.01 1.08 0.02 8 2.65 0.38 0.74 3.01 0.83 1.54 9 1.72 0.34 0.61 2.63 1.18 1.36 10 4.04 1.21 2.25 2.54 1.85 3.06 11 1.53 3.17 3.02 0.84 2.24 1.98 12 2.62 1.09 1.85 2.22 2.63 2.71 13 1.15 0.73 1.32 0.76 1.51 0.71 14 0.49 1.93 0.97 3.80 2.78 0.78 15 0.57 1.41 1.27 2.88 4.20 0.55 16 0.41 0.66 0.48 0.46 1.35 0.35 17 0.47 0.48 0.63 0.35 2.04 0.25 18 0.83 0.34 0.49 0.12 0.49 0.45 19 0.09 0.35 0.18 0.15 0.42 0.10 20 0.35 0.10 0.14 0.12 0.18 0.19 21 6.40 5.92 3.69 5.43 6.95 3.73 22 6.34 7.99 5.59 7.70 24 3.47 1.97 1.79 2.55 3.52 1.73 25 3.69 4.77 3.43 4.56 27 0.014 0.017 0.014 0.020 0.039 0.011 28 0.017 0.009 0.009 0.003 0.010 0.010 29 0.156 0.048 0.082 0.128 0.093 0.105 30 0.047 0.095 0.063 0.021 0.057 0.056 31 0.142 0.031 0.068 0.108 0.054 0.094 32 0.031 0.085 0.054 0.018 0.046 0.046 33 19.00 5.33 9.00 13.00 10.67 16.67 34 5.67 19.33 6.33 7.67 9.67 8.33 35 0.88 1.22 1.74 1.56 1.09 1.52 36 2.94 0.34 2.47 2.65 1.21 3.04 37 16.67 6.50 15.67 20.33 11.67 25.33 38 3.35 0.28 1.42 1.70 1.10 2.00 39 72.83 76.47 64.29 67.07 54.79 77.61 40 72.12 74.51 65.33 72.22 66.13 68.33 41 0.99 0.97 1.02 1.08 1.21 0.88 42 74.07 99.08 69.49 63.24 77.36 77.91 43 1.02 1.30 1.08 0.94 1.41 1.00 44 0.79 1.37 0.92 0.75 1.31 0.97 45 140.04 317.12 131.29 148.82 257.51 64.34 46 140.99 689.67 130.22 299.12 47 49.70 37.20 55.80 46.40 48.20 43.40 48 28.47 39.04 33.01 23.42 34.53 32.51 49 36.17 28.45 35.89 31.09 26.38 33.68 50 38.40 39.40 47.50 37.00 44.60 41.70 51 0.77 1.06 0.85 0.80 0.93 0.96 52 565.93 384.77 294.83 378.00 476.39 197.08 53 426.10 582.38 291.40 593.58 55 1.17 0.34 0.69 56.35 0.44 11.31 56 0.53 0.37 0.31 0.35 0.47 0.25 57 0.37 0.41 0.33 0.29 0.55 0.31 58 0.003 0.002 0.004 0.003 0.005 0.006 59 0.004 0.000 0.004 0.002 60 0.001 0.002 0.002 0.001 0.003 0.002 61 0.001 0.000 0.002 0.001 62 0.02 0.19 0.01 0.01 0.10 0.00 63 0.05 0.01 0.01 0.29 0.01 0.05 64 0.01 0.19 0.21 0.00 0.10 0.00 65 0.69 1.11 1.06 0.82 1.16 1.25 66 0.32 1.19 0.47 0.01 1.25 0.03 67 0.19 24.37 25.38 0.02 20.26 0.04 Table 50.

TABLE 51 Measured parameters in Tomato accessions (lines 7-12) Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 0.80 2 0.45 0.47 0.54 0.39 0.97 0.91 3 6.32 5.75 0.38 0.30 1.95 2.53 4 0.89 5 0.55 0.75 0.58 1.27 1.34 6 5.32 5.24 0.61 0.66 2.70 0.70 7 0.37 0.81 0.55 0.36 0.95 0.80 8 3.70 1.22 0.58 0.55 1.06 0.49 9 4.02 1.01 0.61 0.64 0.95 0.51 10 3.13 2.54 1.84 1.52 1.91 1.86 11 0.85 2.09 3.21 2.75 1.81 3.77 12 3.41 2.11 1.95 1.76 1.72 1.92 13 5.06 0.89 0.67 2.17 0.38 1.27 14 0.02 1.16 2.07 1.51 2.41 2.06 15 0.09 1.03 1.39 3.28 0.91 2.62 16 0.01 0.51 0.44 0.47 1.59 0.39 17 0.05 0.45 0.29 1.02 0.60 0.49 18 0.53 0.44 0.21 0.31 0.66 0.19 19 0.00 0.17 0.19 0.24 0.45 0.17 20 0.38 0.17 0.06 0.10 0.27 0.05 21 4.39 6.72 6.66 4.39 3.90 5.29 22 7.85 6.22 6.16 5.65 4.39 4.44 23 5.15 24 1.87 3.54 3.28 2.52 2.61 2.61 25 4.44 3.15 3.37 3.13 2.40 2.02 26 2.55 27 0.000 0.015 0.014 0.013 0.064 0.010 28 0.012 0.008 0.004 0.006 0.017 0.004 29 0.114 0.091 0.076 0.056 0.141 0.055 30 0.032 0.047 0.058 0.060 0.062 0.083 31 0.113 0.075 0.061 0.043 0.077 0.046 32 0.020 0.039 0.055 0.054 0.045 0.079 33 6.00 16.00 15.00 6.00 17.00 13.00 34 5.00 8.33 10.00 7.00 9.00 8.00 35 4.96 1.08 0.98 4.94 0.88 0.79 36 5.95 2.08 1.47 4.24 1.67 1.29 37 29.73 17.33 14.67 29.67 15.00 10.33 38 1.20 1.92 1.50 0.86 1.89 1.63 39 58.18 66.51 64.71 75.25 66.23 63.21 40 78.13 18.46 73.21 62.50 67.21 75.76 41 1.34 0.28 1.13 0.83 1.01 1.20 42 80.49 67.40 67.16 66.07 69.57 69.30 43 1.38 1.01 1.04 0.88 1.05 1.10 44 1.11 0.95 0.79 0.92 0.94 1.36 45 144.60 246.05 405.55 299.32 86.19 182.32 46 1117.74 111.77 106.29 123.14 104.99 111.88 47 42.90 53.30 58.50 51.10 40.00 47.60 48 27.66 33.68 30.04 35.50 24.81 40.77 49 24.98 35.47 37.87 38.43 26.49 30.07 50 34.40 50.00 44.70 53.70 35.70 58.80 51 0.80 0.94 0.76 1.05 0.89 1.24 52 453.24 625.51 748.01 453.96 164.85 338.30 53 947.59 233.35 340.73 339.11 190.14 421.79 54 337.63 55 0.79 0.58 0.73 0.83 0.86 0.50 56 0.29 0.47 0.40 0.30 0.82 0.40 57 0.45 0.56 0.30 0.31 0.31 0.31 58 0.000 0.002 0.001 0.002 0.018 0.002 59 0.000 0.004 0.002 0.003 0.006 0.002 60 0.000 0.001 0.001 0.001 0.010 0.001 61 0.001 0.002 0.001 0.001 0.003 0.000 62 0.01 0.01 0.01 0.01 0.02 0.01 63 0.23 0.29 0.01 0.01 0.06 0.01 64 0.03 0.01 0.01 0.00 0.01 0.01 65 1.52 1.19 0.76 1.04 0.38 0.78 66 0.56 0.96 0.42 0.38 0.36 0.62 67 0.15 0.02 0.86 0.74 0.09 1.72 Table 51

TABLE 52 Measured parameters in Tomato accessions (lines 13-18) Ecotype/ Treatment Line-13 Line-14 Line-15 Line-16 Line-17 Line-18 1 0.28 0.38 0.63 2.86 1.16 4.40 2 0.36 0.35 0.57 4.38 2.02 8.13 3 1.42 2.03 1.39 2.27 0.45 0.42 4 0.35 0.63 2.27 7.40 2.94 11.60 5 0.52 0.57 0.94 6.17 3.67 11.33 6 2.64 4.67 2.17 0.49 0.34 0.75 7 0.34 0.61 0.94 0.68 0.40 1.44 8 1.31 1.36 0.51 0.71 0.31 0.47 9 1.17 1.94 0.35 1.06 0.21 0.48 10 2.47 2.62 1.08 1.17 0.92 1.09 11 1.89 1.93 2.14 1.65 3.01 2.29 12 2.21 3.73 0.75 1.76 0.63 1.11 13 0.84 1.51 0.98 1.34 0.38 0.84 14 0.38 1.64 0.41 1.21 4.59 1.70 15 0.32 2.48 0.41 1.62 1.76 1.42 16 0.32 0.45 0.14 0.40 1.44 0.50 17 0.27 0.68 0.14 0.53 0.55 0.41 18 0.85 0.27 0.35 0.33 0.31 0.29 19 0.12 0.15 0.12 0.25 0.61 0.31 20 0.31 0.12 0.14 0.17 0.09 0.11 21 6.32 5.11 4.72 6.83 7.10 8.21 22 6.77 7.42 6.71 5.87 4.16 10.29 23 3.38 7.14 5.48 8.62 6.35 6.77 24 3.58 2.56 2.48 3.43 3.30 3.69 25 3.80 3.74 2.98 3.22 2.09 5.91 26 2.04 4.17 3.09 4.69 3.87 2.91 27 0.007 0.017 0.004 0.013 0.037 0.013 28 0.015 0.006 0.008 0.006 0.008 0.005 29 0.059 0.118 0.035 0.051 0.061 0.042 30 0.047 0.046 0.057 0.036 0.080 0.044 31 0.052 0.101 0.031 0.038 0.024 0.029 32 0.033 0.040 0.049 0.030 0.072 0.039 33 8.67 9.33 12.67 6.67 9.33 8.00 34 5.33 8.00 7.67 9.00 10.67 9.00 35 2.12 1.29 1.61 1.90 1.36 1.42 36 3.44 1.50 2.65 1.41 1.19 1.26 37 18.33 12.00 20.33 12.67 12.67 11.33 38 1.63 1.17 1.65 0.74 0.88 0.89 39 56.77 35.96 77.62 100.00 63.16 75.13 40 62.82 70.69 55.75 75.22 63.68 62.31 41 1.11 1.97 0.72 0.75 1.01 0.83 42 100.00 57.66 90.79 68.00 59.65 72.17 43 1.76 1.60 1.17 0.68 0.94 0.96 44 1.44 1.50 1.05 0.56 1.48 0.84 45 160.18 90.10 160.99 379.03 531.08 650.68 46 307.95 419.37 365.81 212.93 84.94 469.87 47 57.90 48.30 43.60 54.50 41.60 59.10 48 47.47 26.06 35.38 30.60 38.97 37.46 49 32.89 17.35 33.82 54.47 26.25 44.43 50 47.50 45.20 39.00 45.00 65.30 51.90 51 0.82 0.94 0.89 0.83 1.57 0.88 52 396.00 236.15 174.58 441.78 489.18 707.80 53 581.33 807.51 784.06 351.80 255.78 1078.10 54 130.78 557.93 176.67 791.86 517.05 832.27 55 1.02 0.70 0.38 0.66 0.70 0.33 56 0.35 0.43 0.35 0.45 0.28 0.47 57 8.36 0.29 0.34 0.44 0.27 0.43 58 0.002 0.005 0.001 0.001 0.003 0.001 59 0.003 0.001 0.001 0.002 0.004 0.001 60 0.001 0.002 0.001 0.001 0.003 0.001 61 0.001 0.000 0.000 0.001 0.001 0.000 62 0.01 0.05 0.36 0.04 0.63 63 0.03 0.26 0.03 0.00 0.00 0.01 64 0.00 0.01 0.30 0.14 0.04 0.09 65 24.12 0.67 0.97 0.99 0.95 0.91 66 8.20 0.41 0.91 0.67 0.38 1.31 67 0.17 0.02 10.50 27.89 11.79 9.98 Table 52: Provided are the values of each of the parameters (as described above) measured in tomato accessions (Seed ID) under all growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 53 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal and stress conditions across tomato ecotypes Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1228 0.78 7.60E−03 1 7 LYM1228 0.89 5.31E−04 1 2 LYM1228 0.84 2.26E−03 1 5 LYM1228 0.74 1.41E−02 5 67 LYM1228 0.82 3.57E−03 5 64 LYM1229 0.92 5.03E−04 3 20 LYM1229 0.82 6.77E−03 3 28 LYM1229 0.73 1.55E−02 6 10 LYM1229 0.73 1.64E−02 6 8 LYM1229 0.73 1.73E−02 6 38 LYM1230 0.83 3.24E−03 5 35 LYM1231 0.71 3.20E−02 3 32 LYM1231 0.77 2.52E−02 2 61 LYM1232 0.76 1.69E−02 3 32 LYM1232 0.75 1.98E−02 3 30 LYM1232 0.78 8.00E−03 6 33 LYM1233 0.70 5.12E−02 2 3 LYM1233 0.71 2.15E−02 2 47 LYM1233 0.72 1.99E−02 6 29 LYM1233 0.84 2.26E−03 5 67 LYM1240 0.88 9.01E−04 5 64 LYM1240 0.75 2.03E−02 1 62 LYM1240 0.76 3.02E−02 2 22 LYM1240 0.70 5.10E−02 2 46 LYM1240 0.79 1.91E−02 2 53 LYM1240 0.77 2.51E−02 2 25 Table 53. Provided are the correlations (R) between the expression levels yield improving genes and their homologs in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal conditions across tomato ecotypes. P = p value

Example 11 Production of Maize Transcriptome and High Throughput Correlation Analysis with Yield, NUE, and ABST Related Parameters Measured in Semi-Hydroponics Conditions Using 60K Maize Oligonucleotide Micro-Arrays

Maize vigor related parameters under low nitrogen, 100 mM NaCl, low temperature (10±2° C.) and normal growth conditions—twelve Maize hybrids were grown in 5 repetitive plots, each containing 7 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Maize seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hoagland solution), low temperature (10±2° C. in the presence of Full Hoagland solution), low nitrogen solution (the amount of total nitrogen was reduced in 90% from the full Hoagland solution (i.e., to a final concentration of 10% from full Hoagland solution, final amount of 1.6 mM N) or at Normal growth solution (Full Hoagland containing 16 mM N solution, at 28±2° C.). Plants were grown at 28±2° C.

Full Hoagland solution consists of: KNO₃—0.808 grams/liter, MgSO₄—0.12 grams/liter, KH₂PO₄—0.136 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8].

Analyzed maize tissues—Twelve selected maize hybrids were sampled per each treatment. Two tissues [leaves and root tip] growing at 100 mM NaCl, low temperature (10±2° C.), low Nitrogen (1.6 mM N) or under Normal conditions were sampled at the vegetative stage (V4-5) and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 54-57 below.

TABLE 54 Maize transcriptome expression sets under semi hydroponics conditions Expression set Set ID leaf at vegetative stage (V4-V5) under Normal conditions 1 root tip at vegetative stage (V4-V5) under Normal conditions 2 Table 54: Provided are the Maize transcriptome expression sets at normal conditions.

TABLE 55 Maize transcriptome expression sets under semi hydroponics conditions Expression set Set ID leaf at vegetative stage (V4-V5) under cold conditions 1 root tip at vegetative stage (V4-V5) under cold conditions 2 Table 55: Provided are the Maize transcriptome expression sets at cold conditions.

TABLE 56 Maize transcriptome expression sets under semi hydroponics conditions Expression set Set ID leaf at vegetative stage (V4-V5) under low N conditions (1.6 1 mM N) root tip at vegetative stage (V4-V5) under low N conditions (1.6 2 mM N) Table 56: Provided are the Maize transcriptome expression sets at low nitrogen conditions 1.6 Mm Nitrogen.

TABLE 57 Maize transcriptome expression sets under semi hydroponics conditions Expression set Set ID leaf at vegetative stage (V4-V5) under salinity conditions (NaCl 1 100 mM) root tip at vegetative stage (V4-V5) under salinity conditions 2 (NaCl 100 mM) Table 57: Provided are the Maize transcriptome expression sets at 100 mM NaCl.

Experimental Results

12 different Maize hybrids were grown and characterized at the vegetative stage (V4-5) for the following parameters: “Leaves DW”=leaves dry weight per plant (average of five plants); “Plant Height growth”=was calculated as regression coefficient of plant height [cm] along time course (average of five plants); “Root DW” root dry weight per plant, all vegetative tissue above ground (average of four plants); “Shoot DW”—shoot dry weight per plant, all vegetative tissue above ground (average of four plants) after drying at 70° C. in oven for 48 hours; “Shoot FW”—shoot fresh weight per plant, all vegetative tissue above ground (average of four plants); “SPAD”—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 30 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. The average for each of the measured parameter was calculated and values are summarized in Tables 59-66 below. Subsequent correlation analysis was performed (Table 67-70). Results were then integrated to the database.

TABLE 58 Maize correlated parameters (vectors) Correlated parameter with Correlation ID Leaves DW (g) 1 Plant height growth (cm/day) 2 Root DW (g) 3 Root length (cm) 4 SPAD 5 Shoot DW (g) 6 Shoot FW (g) 7 Table 58: Provided are the Maize correlated parameters.

TABLE 59 Maize accessions, measured parameters under low nitrogen growth conditions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 0.57 0.45 0.46 0.48 0.36 0.51 2 0.75 0.81 0.88 0.69 0.83 0.84 3 0.38 0.35 0.25 0.36 0.31 0.30 4 44.50 45.63 44.25 43.59 40.67 42.03 5 21.43 21.24 22.23 24.56 22.75 26.47 6 2.56 1.96 2.01 1.94 1.94 2.52 7 23.27 20.58 19.26 20.02 17.98 22.06 Table 59: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

TABLE 60 Maize accessions, measured parameters under low nitrogen growth conditions Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 0.53 0.58 0.55 0.51 0.56 0.39 2 0.78 0.92 0.89 0.85 0.80 0.64 3 0.29 0.31 0.29 0.32 0.43 0.17 4 42.65 45.06 45.31 42.17 41.03 37.65 5 22.08 25.09 23.73 25.68 25.02 19.51 6 2.03 2.37 2.09 2.17 2.62 1.53 7 21.28 22.13 20.29 19.94 22.50 15.93 Table 60: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under low nitrogen conditions. Growth conditions are specified in the experimental procedure section.

TABLE 61 Maize accessions, measured parameters under 100 mM NaCl growth conditions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 0.41 0.50 0.43 0.48 0.43 0.56 2 0.457 0.398 0.454 0.316 0.322 0.311 3 0.047 0.050 0.030 0.071 0.046 0.031 4 10.88 11.28 11.82 10.08 8.46 10.56 5 36.55 39.92 37.82 41.33 40.82 44.40 6 2.43 2.19 2.25 2.26 1.54 1.94 7 19.58 20.78 18.45 19.35 15.65 16.09 Table 61: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under 100 mM NaCl growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 62 Maize accessions, measured parameters under 100 mM NaCl growth conditions Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 0.33 0.51 0.47 0.98 0.48 0.15 2 0.290 0.359 0.370 0.355 0.305 0.272 3 0.095 0.063 0.016 0.035 0.049 0.015 4 10.14 11.83 10.55 11.18 10.09 8.90 5 37.92 43.22 39.83 38.20 38.14 37.84 6 1.78 1.90 1.89 2.20 1.86 0.97 7 12.46 16.92 16.75 17.64 15.90 9.40 Table 62: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under 100 mM NaCl growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 63 Maize accessions, measured parameters under cold growth conditions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 1.19 1.17 1.02 1.18 1.04 1.23 2 2.15 1.93 2.12 1.80 2.32 2.15 3 0.047 0.068 0.100 0.081 0.066 0.067 4 28.88 29.11 27.08 32.38 32.68 32.89 5 5.74 4.86 3.98 4.22 4.63 4.93 6 73.79 55.46 53.26 54.92 58.95 62.36 Table 63: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under cold growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 64 Maize accessions, measured parameters under cold growth conditions Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 1.13 0.98 0.88 1.28 1.10 0.60 2 2.49 2.01 1.95 2.03 1.85 1.21 3 0.137 0.067 0.073 0.020 0.052 0.057 4 31.58 33.01 28.65 31.43 30.64 30.71 5 4.82 4.03 3.57 3.99 4.64 1.89 6 63.65 54.90 48.25 52.83 55.08 29.61 Table 64: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under cold growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 65 Maize accessions, measured parameters under regular growth conditions Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 1.161 1.099 0.924 1.013 0.935 0.907 2 1.994 1.919 1.927 1.934 2.152 1.948 3 0.140 0.106 0.227 0.155 0.077 0.049 4 20.15 15.89 18.59 18.72 16.38 14.93 5 34.50 35.77 34.70 34.42 35.26 37.52 6 5.27 4.67 3.88 5.08 4.10 4.46 7 79.00 62.85 59.73 63.92 60.06 64.67 Table 65: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under regular (non-stress) growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 66 Maize accessions, measured parameters under regular growth conditions Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 1 1.105 1.006 1.011 1.02 1.23 0.44 2 2.234 1.937 1.965 2.05 1.74 1.26 3 0.175 0.101 0.069 0.10 0.14 0.03 4 17.48 15.74 15.71 17.58 16.13 17.43 5 36.50 36.07 33.74 34.34 35.74 29.04 6 4.68 4.59 4.08 4.61 5.42 2.02 7 68.10 65.81 58.31 61.87 70.04 35.96 Table 66: Provided are the values of each of the parameters (as described above) measured in Maize accessions (Seed ID) under regular (non-stress) growth conditions. Growth conditions are specified in the experimental procedure section.

TABLE 67 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across Maize accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1130 0.70 3.52E−02 2 6 LYM1130 0.75 1.22E−02 1 2 LYM1142 0.74 1.51E−02 1 4 LYM1151 0.75 1.88E−02 2 7 LYM1151 0.83 5.31E−03 2 1 LYM1151 0.75 1.94E−02 2 3 LYM1151 0.84 5.03E−03 2 6 LYM1156 0.70 2.38E−02 1 4 LYM1163 0.71 2.10E−02 1 7 LYM1167 0.79 1.06E−02 2 6 LYM1167 0.74 1.50E−02 1 4 LYM1171 0.73 1.65E−02 1 3 LYM1171 0.71 2.18E−02 1 4 LYM1176 0.79 6.96E−03 1 7 LYM1176 0.76 1.06E−02 1 2 Table 67. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or roots; Expression sets (Exp)] and the phenotypic performance in various biomass, growth rate and/or vigor components [Correlation vector (corr.)] under normal conditions across Maize accessions. P = p value.

TABLE 68 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under low nitrogen conditions across Maize accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1139 0.70 3.48E−02 2 5 LYM1141 0.74 2.22E−02 2 4 LYM1143 0.88 1.97E−03 2 7 LYM1143 0.85 3.53E−03 2 1 LYM1143 0.73 2.55E−02 2 6 LYM1154 0.76 1.06E−02 1 3 LYM1161 0.70 2.40E−02 1 4 LYM1162 0.76 1.07E−02 1 5 LYM1164 0.87 1.16E−03 1 4 LYM1170 0.74 1.46E−02 1 5 LYM1181 0.72 3.03E−02 2 7 LYM1181 0.78 1.24E−02 2 1 LYM1182 0.77 1.52E−02 2 5 LYM1184 0.73 2.47E−02 2 3 Table 68. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or roots; Expression sets (Exp)] and the phenotypic performance in various biomass, growth rate and/or vigor components [Correlation vector (corr.)] under low nitrogen conditions across Maize accessions. P = p value.

TABLE 69 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under cold conditions across Maize accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1129 0.71 4.91E−02 1 3 LYM1130 0.87 5.50E−03 1 7 LYM1130 0.88 3.86E−03 1 2 LYM1130 0.83 1.03E−02 1 6 LYM1130 0.85 3.45E−03 2 1 LYM1130 0.71 3.16E−02 2 6 LYM1137 0.81 1.54E−02 1 5 LYM1139 0.75 3.30E−02 1 7 LYM1139 0.80 1.82E−02 1 2 LYM1139 0.71 4.70E−02 1 5 LYM1142 0.74 3.52E−02 1 2 LYM1146 0.73 3.92E−02 1 7 LYM1149 0.70 5.13E−02 1 7 LYM1149 0.80 1.81E−02 1 2 LYM1154 0.72 2.83E−02 2 2 LYM1158 0.81 1.54E−02 1 7 LYM1158 0.87 4.48E−03 1 1 LYM1158 0.76 2.96E−02 1 6 LYM1159 0.73 3.89E−02 1 7 LYM1159 0.87 4.89E−03 1 2 LYM1159 0.75 3.19E−02 1 3 LYM1162 0.76 2.95E−02 1 3 LYM1164 0.71 5.07E−02 1 3 LYM1167 0.71 5.06E−02 1 7 LYM1169 0.70 3.47E−02 2 5 LYM1170 0.85 3.57E−03 2 3 LYM1176 0.74 3.75E−02 1 7 LYM1176 0.81 1.49E−02 1 2 LYM1177 0.74 3.65E−02 1 2 LYM1185 0.73 4.05E−02 1 5 LYM1185 0.70 3.56E−02 2 6 LYM1186 0.74 3.76E−02 1 1 LYM1187 0.75 3.11E−02 1 3 Table 69. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or roots; Expression sets (Exp)] and the phenotypic performance in various biomass, growth rate and/or vigor components [Correlation vector (corr.)] under cold conditions (10 ± 2° C.) across Maize accessions. P = p value.

TABLE 70 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under salinity conditions across Maize accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1129 0.71 3.17E−02 2 7 LYM1134 0.78 1.28E−02 2 2 LYM1135 0.83 2.75E−03 1 2 LYM1139 0.77 1.49E−02 2 7 LYM1140 0.78 1.36E−02 2 3 LYM1141 0.74 2.13E−02 2 7 LYM1142 0.73 2.49E−02 2 2 LYM1142 0.79 6.50E−03 1 7 LYM1142 0.78 7.64E−03 1 2 LYM1142 0.72 1.89E−02 1 6 LYM1152 0.76 1.70E−02 2 1 LYM1146 0.77 1.52E−02 2 5 LYM1154 0.87 2.26E−03 2 5 LYM1154 0.83 5.84E−03 2 1 LYM1154 0.78 7.90E−03 1 5 LYM1158 0.86 3.11E−03 2 7 LYM1162 0.80 5.37E−03 1 2 LYM1162 0.86 1.37E−03 1 5 LYM1163 0.71 3.26E−02 2 4 LYM1169 0.87 2.11E−03 2 7 LYM1169 0.82 6.71E−03 2 1 LYM1169 0.92 5.16E−04 2 6 LYM1169 0.85 1.82E−03 1 2 LYM1170 0.80 9.90E−03 2 5 LYM1177 0.72 1.83E−02 1 2 LYM1184 0.76 1.07E−02 1 3 LYM1186 0.75 1.89E−02 2 3 LYM1187 0.86 1.56E−03 1 3 Table 70. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or roots; Expression sets (Exp)] and the phenotypic performance in various biomass, growth rate and/or vigor components [Correlation vector (corr.)] under salinity conditions (100 mM NaCl) across Maize accessions. P = p value.

Example 12 Production of Sorghum Transcriptome and High Throughput Correlation Analysis Using 60K Sorghum Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 60,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with vigor related parameters, various plant characteristics of 10 different sorghum hybrids were analyzed. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739(dot)html].

Experimental Procedures

Correlation of Sorghum varieties across ecotypes grown in growth chambers under temperature of 30° C. or 14° C. at low light (100 μE) and high light (250 μE) conditions.

Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sample per each condition. Leaf tissue growing under 30° C. and low light (100 μE m⁻² sec⁻¹), 14° C. and low light (100 μE m⁻² sec⁻¹), 30° C. and high light (250 μE m⁻² sec⁻¹), 14° C. and high light (250 μE m⁻² sec⁻¹) were sampled at vegetative stage of four-five leaves and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 71 below.

TABLE 71 Sorghum transcriptome expression sets in field experiments Sorghum/leaf; 14 Celsius degree; high light; light on 1 Sorghum/leaf; 14 Celsius degree; low light; light on 2 Sorghum/leaf; 30 Celsius degree; high light; light on 3 Sorghum/leaf; 30 Celsius degree; low light; light on 4 Table 71: Provided are the sorghum transcriptome expression sets.

The following parameters were collected by sampling 8-10 plants per plot or by measuring the parameter across all the plants within the plot.

Relative Growth Rate of vegetative dry weight was performed using Formula VII.

Leaves number—Plants were characterized for leaf number during growing period. In each measure, plants were measured for their leaf number by counting all the leaves of selected plants per plot.

Shoot FW—shoot fresh weight per plant, measurement of all vegetative tissue above ground.

Shoot DW—shoot dry weight per plant, measurement of all vegetative tissue above ground after drying at 70° C. in oven for 48 hours.

The average for each of the measured parameter was calculated and values are summarized in Tables 73-76 below. Subsequent correlation analysis was performed (Table 77). Results were then integrated to the database.

TABLE 72 Sorghum correlated parameters (vectors) Correlated parameter with Correlation ID Leaves number 1 RGR 2 Shoot DW 3 Shoot FW 4 Table 72. Provided are the Sorghum correlated parameters (vectors).

TABLE 73 Measured parameters in Sorghum accessions under 14° C. and low light (100 μE m-² sec-¹) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 1 3 3 2.75 2.75 2.63 3 3.5 2.75 2.43 2 2 0.032 −0.01 −0.022 0.024 −0.04 −0.05 0.08 NA −0.1 −0.07 3 0.041 0.013 0.013 0.009 0.011 0.01 0.03 0.01 0.01 0.01 4 0.55 0.3 0.33 0.28 0.36 0.36 0.58 0.22 0.18 0.3 Table 73: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 14° C. and low light (100 μE m-² sec-¹).

TABLE 74 Measured parameters in Sorghum accessions under 30° C. and low light (100 μE m-² sec-¹) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 1 5.27 5 4.75 4 4 4 5.25 4.5 3.75 4 2 0.099 0.098 0.09 0.122 0.108 0.08 0.11 0.12 0.04 0.04 3 0.114 0.079 0.071 0.056 0.093 0.08 0.04 0.06 0.04 0.05 4 1.35 1.05 0.88 0.95 1.29 1.13 0.71 0.79 0.67 0.82 Table 74: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 30° C. and low light (100 μE m-² sec-¹).

TABLE 75 Measured parameters in Sorghum accessions under 30° C. and high light (250 μE m-² sec-¹) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 1 4 3.7 3.5 3.33 4 4 3.6 3.4 3.3 3.4 2 0.098 0.096 0.087 0.07 0.094 0.12 0.1 0.1 0.11 0.12 3 0.076 0.05 0.047 0.036 0.065 0.09 0.05 0.04 0.04 0.06 4 0.77 0.52 0.49 0.38 0.71 0.86 0.49 0.45 0.44 0.67 Table 75: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 30° C. and high light (250 μE m-² sec-¹).

TABLE 76 Measured parameters in Sorghum accessions under 14° C. and high light (250 μE m-² sec-¹) Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 Line-8 Line-9 Line-10 2 0.053 0.052 0.034 0.04 0.056 0.06 0.05 0.06 0.07 0.06 3 0.037 0.026 0.021 0.023 0.037 0.04 0.02 0.02 0.02 0.03 4 0.37 0.25 0.22 0.25 0.43 0.37 0.24 0.23 0.24 0.27 Table 76: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under 14° C. and high light (250 μE m-² sec-¹).

TABLE 77 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1196 0.75 1.18E−02 2 4 LYM1196 0.73 2.61E−02 2 2 LYM1201 0.72 1.07E−01 3 4 LYM1201 0.71 1.15E−01 3 2 LYM1201 0.77 7.53E−02 3 3 LYM1202 0.81 4.91E−02 3 4 LYM1202 0.86 2.88E−02 3 3 LYM1202 0.80 5.87E−02 3 1 LYM1204 0.73 9.87E−02 3 4 LYM1204 0.79 6.19E−02 3 3 LYM1206 0.82 4.06E−03 2 4 LYM1206 0.72 2.90E−02 2 2 LYM1206 0.94 5.61E−05 2 3 LYM1208 0.74 9.37E−02 3 4 LYM1208 0.81 5.20E−02 3 3 LYM1210 0.75 8.30E−02 3 3 LYM1239 0.77 8.50E−03 4 4 LYM1239 0.77 9.81E−03 4 3 Table 77. Provided are the correlations (R) between the expression levels of yield improving genes and their homologues in tissues [Leaves or roots; Expression sets (Exp)] and the phenotypic performance in various biomass, growth rate and/or vigor components [Correlation vector (corr.)] under 14° C. and low light (100 μE m-² sec-¹) conditions across sorghum accessions. P = p value.

Example 13 Production of Maize Transcriptome and High Throughput Correlation Analysis when Grown Under Normal and Defoliation Using 60K Maize Oligonucleotide Micro-Array

To produce a high throughput correlation analysis, the present inventors utilized a Maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 60K Maize genes and transcripts designed based on data from Public databases (Example 1). To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 13 different Maize hybrids were analyzed under normal and defoliation conditions. Same hybrids were subjected to RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739(dot)html].

Experimental Procedures

13 maize hybrids lines were grown in 6 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols. After silking 3 plots in every hybrid line underwent the defoliation treatment. In this defoliation treatment all the leaves above the ear were removed. After the treatment all the plants were grown according to the same commercial fertilization and irrigation protocols.

Three tissues at flowering (R1) and grain filling (R3) developmental stage including leaf (flowering -R1), stem (flowering -R1 and grain filling -R3), and flowering meristem (flowering -R1) representing different plant characteristics, were sampled from treated and untreated plants. RNA was extracted as described in “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”. For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Tables 78-79 below.

TABLE 78 Tissues used for Maize transcriptome expression sets (Under normal conditions) Expression Set Set ID Female meristem at flowering stage under normal conditions 1 leaf at flowering stage under normal conditions 2 stem at flowering stage under normal conditions 3 stem at grain filling stage under normal conditions 4 Table 78. Provided are the identification (ID) number of each of the Maize expression sets.

TABLE 79 Tissues used for Maize transcriptome expression sets (Under defoliation treatment) Expression Set Set ID Female meristem at flowering stage under defoliation treatment 1 leaf at flowering stage under defoliation treatment 2 stem at flowering stage under defoliation treatment 3 stem at grain filling stage under defoliation treatment 4 Table 79. Provided are the identification (ID) number of each of the Maize expression sets.

The following parameters were collected by imaging.

The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National

Institutes of Health and is freely available on the internet at rsbweb(dot)nih(dot)gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).

1000 grain weight—At the end of the experiment all seeds from all plots were collected and weighed and the weight of 1000 was calculated.

Ear Area (cm²)—At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of ears.

Ear Length and Ear Width (cm)—At the end of the growing period 6 ears were, photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.

Grain Area (cm²)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weight, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.

Grain Perimeter (cm)—At the end of the growing period the grains were separated from the ear. A sample of ˜200 grains were weight, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Ear filled grain area (cm²)—At the end of the growing period 5 ears were photographed and images were processed using the below described image processing system. The Ear area filled with kernels was measured from those images and was divided by the number of Ears.

Filled per Whole Ear—was calculated as the length of the ear with grains out of the total ear.

Additional parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.

Cob width [cm]—The diameter of the cob without grains was measured using a ruler.

Ear average weight [kg]—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected. The ears were weighted and the average ear per plant was calculated. The ear weight was normalized using the relative humidity to be 0%.

Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located.

Ear row number—The number of rows per ear was counted.

Ear fresh weight per plant (GF)—During the grain filling period (GF) and total and 6 selected ears per plot were collected separately. The ears were weighted and the average ear weight per plant was calculated.

Ears dry weight—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected and weighted. The ear weight was normalized using the relative humidity to be 0%.

Ears fresh weight—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots were collected and weighted.

Ears per plant-number of ears per plant were counted.

Grains weight (Kg.)—At the end of the experiment all ears were collected. Ears from 6 plants from each plot were separately threshed and grains were weighted.

Grains dry weight (Kg.)—At the end of the experiment all ears were collected. Ears from 6 plants from each plot were separately threshed and grains were weighted. The grain weight was normalized using the relative humidity to be 0%.

Grain weight per ear (Kg.)—At the end of the experiment all ears were collected. 5 ears from each plot were separately threshed and grains were weighted.

The average grain weight per ear was calculated by dividing the total grain weight by the number of ears.

Leaves area per plant (GF) and (HD) [LAI]=Total leaf area of 6 plants in a plot. This parameter was measured at two time points during the course of the experiment; at heading (HD) and during the grain filling period (GF). Measurement was performed using a Leaf area-meter at two time points in the course of the experiment; during the grain filling period and at the heading stage (VT).

Leaves fresh weight (GF) and (HD)—This parameter was measured at two time points during the course of the experiment; at heading (HD) and during the grain filling period (GF). Leaves used for measurement of the LAI were weighted.

Lower stem fresh weight (GF) (HD) and (H)—This parameter was measured at three time points during the course of the experiment: at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and weighted. The average internode weight per plant was calculated by dividing the total grain weight by the number of plants.

Lower stem length (GF) (HD) and (H)—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and their length was measured using a ruler. The average internode length per plant was calculated by dividing the total grain weight by the number of plants.

Lower stem width (GF) (HD) and (H)—This parameter was measured at three time points during the course of the experiment: at heading (HD), during the grain filling period (GF) and at harvest (H). Lower internodes from at least 4 plants per plot were separated from the plant and their diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total grain weight by the number of plants.

Plant height growth: the RGR of Plant Height was performed using Formula III above.

SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Data were taken after 46 and 54 days after sowing (DPS).

Stem fresh weight (GF) and (HD)—This parameter was measured at two time points during the course of the experiment: at heading (HD) and during the grain filling period (GF). Stems of the plants used for measurement of the LAI were weighted.

Total dry matter—Total dry matter was performed using Formula LXIII above.

Upper stem fresh weight (GF) (HD) and (H)—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and weighted. The average internode weight per plant was calculated by dividing the total grain weight by the number of plants.

Upper stem length (GF) (HD) and (H)—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and their length was measured using a ruler. The average internode length per plant was calculated by dividing the total grain weight by the number of plants.

Upper stem width (GF) (HD) and (H) (mm)—This parameter was measured at three time points during the course of the experiment; at heading (HD), during the grain filling period (GF) and at harvest (H). Upper internodes from at least 4 plants per plot were separated from the plant and their diameter was measured using a caliber. The average internode width per plant was calculated by dividing the total grain weight by the number of plants.

Vegetative dry weight (Kg.)—total weight of the vegetative portion of 6 plants (above ground excluding roots) after drying at 70° C. in oven for 48 hours weight by the number of plants.

Vegetative fresh weight (Kg.)—total weight of the vegetative portion of 6 plants (above ground excluding roots).

Node number—nodes on the stem were counted at the heading stage of plant development.

TABLE 80 Maize correlated parameters (vectors) under normal conditions and under defoliation Normal conditions Defoliation Correlation Correlation Correlated parameter with ID Correlated parameter with ID 1000 grain weight [g] 1 1000 grain weight 1 Cob width [mm] 2 Cob width 2 Ear Area [cm²] 3 Ear Area (cm²) 3 Ear filled grain area [cm²] 4 Ear filled grain area [cm²] 4 Ear Width [cm] 5 Ear Width [cm] 5 Ear average weight [g] 6 Ear average weight [g] 6 Ear height [cm] 7 Ear height [cm] 7 Ear length [cm] 8 Ear length [cm] 8 Ear row num 9 Ear row num 9 Ears dry weight [kg] 11 Ears dry weight [kg] 10 Ears fresh weight [kg] 12 Ears fresh weight [kg] 11 Ear fresh weight per plant 10 Ears per plant [number] 12 (GF) [g/plant] Ears per plant [number] 13 Filled per Whole Ear 13 Grain length [cm] 16 Grain Perimeter 14 Grain Perimeter [cm] 15 Grain length [cm] 15 Grain width [cm] 17 Grains dry weight 16 Grains dry weight [kg] 18 Grains weight [kg] 17 Grains weight [kg] 19 Grain weight per ear [kg] 18 Leaves area per plant (GF) 23 Leaves area per plant (hd) [cm²] 20 [cm²] Leaves area per plant (HD) 24 Lower stem fresh weight (H) [g] 21 [cm²] Grain weight per ear [kg] 20 Lower stem fresh weight (HD) 22 [g] Leaves fresh weight (GF) [g] 21 Leaves fresh weight (HD) [g] 23 Leaves fresh weight (HD) [g] 22 Lower stem length (H) [cm] 23 Leaves temperature (GF) 25 Lower stem length (HD) [cm] 24 Lower stem fresh weight (GF) 26 Lower stem width (H) [mm] 25 [g] Lower stem fresh weight (H) 27 Lower stem width (HD) [mm] 26 [g] Lower stem fresh weight 28 Node number 27 (HD) [g] Lower stem length (GF) [cm] 29 Plant height [cm] 28 Lower stem length (H) [cm] 30 Plant height growth [cm/day] 29 Lower stem length (HD) [cm] 31 SPAD (GF) [value] 30 Lower stem width (GF) [mm] 32 Stem fresh weight (HD) [g] 31 Lower stem width (H) [mm] 33 Total dry matter [kg] 32 Lower stem width (HD) [mm] 34 Upper stem fresh weight (H) [g] 33 Node number 35 Upper stem length (H) [cm] 34 Plant height [cm] 36 Upper stem width (H) [mm] 35 Plant height growth [cm/day] 37 Vegetative dry weight [kg] 36 Filled per Whole Ear [value] 14 Vegetative fresh weight [kg] 37 SPAD (GF) [value] 38 Grain area [cm2] 38 Stem fresh weight (GF) [g] 39 Stem fresh weight (HD) [g] 40 Total dry matter [kg] 41 Upper stem fresh weight (GF) 42 [g] Upper stem fresh weight (H) 43 [g] Upper stem length (GF) [cm] 44 Upper stem length (H) [cm] 45 Upper stem width (GF) [mm] 46 Upper stem width (H) [mm] 47 Vegetative dry weight [kg] 48 Vegetative fresh weight [kg] 49 Grain area [cm²] 50 Table 80.

Thirteen maize varieties were grown, and characterized for parameters, as described above. The average for each parameter was calculated using the JMP software, and values are summarized in Tables 81-84 below. Subsequent correlation between the various transcriptome sets for all or sub set of lines was done by the bioinformatic unit and results were integrated into the database (Tables 85 and 86 below).

TABLE 81 Measured parameters in Maize Hybrid under normal conditions Ecotype/Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 296.50 263.25 303.61 304.70 281.18 330.45 2 24.63 25.11 23.21 23.69 22.81 22.40 3 82.30 74.63 77.00 90.15 83.80 96.63 4 80.89 72.42 73.43 85.96 80.64 95.03 5 4.66 4.79 4.96 5.00 4.65 4.80 6 209.50 164.63 177.44 218.53 205.58 135.77 7 121.67 134.24 149.64 152.14 143.83 133.65 8 22.09 19.62 20.02 23.21 22.63 23.74 9 13.00 14.94 14.56 14.56 13.56 13.06 10 351.26 323.08 307.87 330.60 320.51 434.60 11 1.26 1.09 1.06 1.31 1.23 1.35 12 1.69 1.46 1.41 1.70 1.52 1.74 13 1.000 1.111 1.000 1.000 1.000 1.056 14 0.98 0.97 0.95 0.95 0.95 0.94 15 3.30 3.23 3.28 3.34 3.18 3.38 16 1.125 1.123 1.133 1.170 1.081 1.159 17 0.808 0.753 0.789 0.782 0.787 0.823 18 0.907 0.800 0.766 0.923 0.833 0.986 19 1.04 0.91 0.87 1.06 0.95 1.12 20 0.15 0.13 0.13 0.15 0.14 0.16 21 230.13 197.64 201.03 205.53 224.81 204.49 22 110.97 80.57 157.21 128.83 100.57 111.80 23 7034.60 6402.80 6353.07 6443.92 6835.50 6507.33 24 4341.25 3171.00 4205.50 4347.50 3527.00 4517.33 25 33.11 33.52 33.87 34.18 33.78 32.85 26 35.40 25.03 26.51 21.74 26.13 34.44 27 23.52 20.34 25.08 14.18 17.53 25.74 28 72.99 59.90 74.72 90.48 69.52 66.91 29 19.35 20.40 20.93 21.38 20.03 20.31 30 16.76 20.02 22.59 21.68 22.34 21.39 31 14.50 17.75 20.00 19.35 20.33 20.75 32 19.86 16.84 16.14 16.37 17.01 17.53 33 19.42 17.19 16.09 16.92 17.52 17.88 34 24.14 20.53 20.97 24.43 21.70 19.49 35 15.22 14.56 14.61 14.83 15.00 13.83 36 265.11 255.94 271.11 283.89 279.72 268.78 37 5.43 5.59 6.15 5.99 6.37 6.47 38 59.77 53.17 53.21 54.95 53.99 55.24 39 649.03 489.32 524.06 512.66 542.16 627.76 40 758.61 587.88 801.32 794.80 721.87 708.38 41 2.57 2.06 2.32 2.44 2.36 2.57 42 19.61 15.54 17.82 10.79 14.41 20.31 43 12.94 11.21 12.98 6.50 7.99 12.08 44 16.63 18.75 18.38 17.92 17.60 18.79 45 16.93 18.76 18.72 20.01 19.40 19.65 46 16.00 14.11 13.50 11.89 13.08 14.34 47 14.93 13.00 12.44 12.04 12.89 13.28 48 1.31 0.97 1.25 1.13 1.13 1.21 49 3.16 2.25 2.61 2.60 2.42 2.64 50 0.72 0.67 0.71 0.72 0.67 0.75 Table 81.

TABLE 82 Measured parameters in Maize Hybrid under normal conditions, additional maize lines Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 Line-13 1 290.88 250.26 306.20 253.19 277.03 269.53 274.81 2 23.18 24.88 26.47 23.09 22.69 23.55 26.31 3 78.36 93.91 96.77 85.44 76.77 NA 97.99 4 74.41 92.31 95.43 83.28 74.35 NA 96.88 5 4.79 5.18 5.00 4.95 4.79 NA 5.43 6 147.49 207.11 228.44 215.92 198.69 188.50 254.42 7 118.39 145.24 133.78 143.71 134.17 143.00 147.78 8 20.31 22.60 23.84 21.74 20.04 NA 22.41 9 16.12 15.89 14.00 15.44 14.89 14.94 16.78 10 325.08 327.15 363.70 405.72 338.24 345.32 369.69 11 1.16 1.29 1.37 1.30 1.19 1.13 1.53 12 1.80 1.60 1.74 1.68 1.56 1.42 1.89 13 1.000 1.056 1.000 1.000 1.000 1.000 1.000 14 0.93 0.98 0.99 0.97 0.97 NA 0.99 15 3.25 3.18 3.29 3.27 3.22 3.15 3.38 16 1.142 1.118 1.151 1.163 1.124 1.090 1.206 17 0.740 0.730 0.774 0.739 0.756 0.757 0.760 18 0.820 0.921 1.017 0.942 0.852 0.813 1.142 19 0.94 1.05 1.15 1.08 0.97 0.92 1.29 20 0.14 0.15 0.17 0.16 0.14 0.14 0.19 21 212.41 181.43 199.22 206.91 168.54 199.42 200.12 22 116.75 106.95 85.97 102.71 105.73 102.12 143.06 23 7123.48 6075.21 6597.67 6030.40 6307.06 6617.65 6848.03 24 3984.75 3696.75 3926.67 3127.67 3942.75 3955.00 4854.00 25 33.19 33.66 33.78 32.64 33.95 33.28 33.90 26 27.61 25.26 26.18 34.31 25.50 23.06 25.59 27 20.60 16.35 18.90 27.30 22.35 19.26 22.82 28 60.36 63.07 55.89 82.13 60.02 58.70 116.12 29 18.08 20.18 19.81 22.89 19.81 19.53 21.40 30 17.07 20.69 18.48 23.31 19.39 19.66 19.97 31 15.00 18.68 20.50 22.57 19.83 14.50 20.33 32 18.11 17.09 16.87 17.49 16.62 17.10 17.38 33 17.96 18.42 17.43 18.07 17.68 17.61 18.93 34 23.47 20.97 21.46 21.41 22.12 23.25 24.31 35 14.28 14.72 15.44 14.33 14.44 14.89 14.39 36 244.25 273.56 273.22 295.33 259.25 257.89 277.19 37 4.82 6.01 5.99 6.66 5.99 5.62 6.53 38 55.38 56.76 55.81 58.54 51.68 55.16 54.16 39 507.78 549.34 509.74 662.13 527.43 474.68 544.03 40 660.70 724.58 618.46 837.56 612.81 728.00 950.29 41 2.23 2.73 2.33 2.40 2.20 2.08 2.84 42 15.85 14.39 17.85 20.42 13.93 13.05 16.45 43 9.72 6.98 9.40 13.58 9.20 7.69 10.17 44 17.07 17.52 18.15 18.61 17.69 18.15 18.64 45 16.42 18.34 16.63 19.38 16.71 16.27 15.92 46 15.04 13.63 14.73 14.61 13.17 12.77 14.15 47 13.10 13.48 13.42 13.27 13.14 12.53 13.79 48 1.07 1.44 0.96 1.10 1.01 0.95 1.31 49 2.22 2.90 2.22 2.83 2.29 2.15 2.90 50 0.66 0.65 0.70 0.68 0.67 0.65 0.72 Table 82.

TABLE 83 Measured parameters in Maize Hybrid under defoliation Ecotype/Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 1 280.03 251.86 294.29 295.36 288.40 308.25 2 19.03 22.12 16.31 21.54 19.84 18.21 3 53.60 45.50 38.31 58.47 53.89 63.54 4 51.50 42.95 34.59 55.67 51.36 61.44 5 4.18 4.21 3.92 4.77 4.51 4.61 6 89.20 100.75 73.39 129.84 129.78 115.06 7 119.44 131.56 145.53 156.06 145.28 129.53 8 16.34 13.63 12.89 15.94 15.34 17.53 9 12.71 14.36 13.00 14.12 13.47 13.07 10 0.75 0.58 0.44 0.74 0.78 0.58 11 0.97 0.83 0.63 0.98 1.01 0.80 12 1.000 0.944 1.000 0.944 1.000 0.941 13 0.954 0.915 0.873 0.950 0.948 0.961 14 3.109 3.144 3.179 3.207 3.196 3.230 15 1.052 1.080 1.079 1.110 1.087 1.094 16 0.523 0.400 0.289 0.517 0.547 0.398 17 0.604 0.456 0.331 0.588 0.624 0.458 18 0.09 0.07 0.05 0.09 0.09 0.08 19 112.27 94.99 125.14 144.48 112.50 116.16 20 3914.00 3480.00 4276.50 4985.50 4643.50 4223.00 21 23.02 26.50 26.98 15.24 18.19 37.21 22 64.16 53.81 56.41 80.95 71.27 66.69 23 16.29 21.44 20.85 22.58 22.94 21.62 24 15.15 18.50 16.67 18.07 18.00 19.83 25 19.54 16.90 15.79 17.01 17.12 18.17 26 24.30 20.57 21.06 24.87 20.85 20.46 27 15.17 14.39 15.00 15.11 14.50 14.22 28 251.42 248.64 268.06 285.11 278.83 261.88 29 6.38 6.32 6.31 6.93 6.83 7.14 30 61.21 57.36 58.02 62.36 60.72 62.22 31 713.54 538.04 705.53 803.33 703.36 664.23 32 1.54 1.37 1.44 1.53 1.57 1.57 33 8.68 11.08 14.10 4.89 6.04 13.95 34 16.24 18.83 17.74 19.64 20.74 20.14 35 14.27 12.82 12.69 11.09 12.00 13.03 36 0.79 0.78 1.00 0.79 0.79 1.00 37 2.51 1.96 2.80 2.11 2.20 2.79 38 0.65 0.63 0.67 0.68 0.68 0.68 Table 83.

TABLE 84 Measured parameters in Maize Hybrid under defoliation, additional maize lines Ecotype/ Treatment Line-7 Line-8 Line-9 Line-10 Line-11 Line-12 Line-13 1 230.12 271.25 259.43 243.98 262.41 248.64 244.16 2 19.77 22.44 20.28 19.64 22.32 23.31 27.78 3 39.83 47.33 65.90 43.83 43.28 52.30 58.31 4 36.31 43.34 64.80 39.56 40.43 49.28 55.69 5 4.10 4.20 4.66 4.06 4.01 4.41 4.98 6 85.04 33.10 161.76 89.36 87.68 88.18 124.58 7 123.38 135.00 136.50 136.39 130.32 139.71 143.44 8 13.21 14.82 17.60 13.78 13.75 15.53 14.87 9 14.06 13.75 13.94 12.79 13.00 14.29 15.83 10 0.45 0.63 0.80 0.54 0.55 0.51 0.75 11 0.65 0.82 1.15 0.88 0.79 0.69 0.99 12 0.889 1.000 0.882 1.000 1.056 0.944 1.000 13 0.905 0.905 0.983 0.890 0.918 0.940 0.950 14 3.130 3.016 3.117 3.086 3.030 2.976 3.153 15 1.066 1.024 1.084 1.054 1.025 0.995 1.095 16 0.302 0.439 0.667 0.359 0.377 0.344 0.531 17 0.345 0.505 0.767 0.411 0.435 0.394 0.609 18 0.06 0.07 0.12 0.06 0.06 0.06 0.09 19 113.78 93.74 89.86 86.98 117.27 150.68 161.65 20 3436.00 4593.00 4315.50 4020.50 4154.00 4851.50 3750.00 21 27.88 17.33 20.51 25.36 28.41 23.16 38.80 22 64.19 76.23 57.85 69.98 67.30 72.90 83.58 23 18.76 20.88 17.83 20.70 20.43 20.11 24.13 24 16.10 14.83 17.50 23.67 19.00 16.45 20.60 25 18.21 17.23 17.88 17.12 17.53 18.63 19.87 26 20.96 22.47 21.23 19.85 21.29 23.58 21.37 27 14.39 14.67 15.61 14.39 14.06 14.61 14.00 28 254.64 261.94 268.88 272.71 262.50 266.33 279.14 29 6.48 6.28 7.04 7.20 7.34 6.94 7.27 30 59.65 59.99 56.76 65.70 57.94 60.31 57.71 31 673.24 738.37 692.23 619.79 729.23 794.64 847.52 32 1.34 1.47 1.66 1.48 1.31 1.48 1.71 33 10.93 6.48 9.01 10.69 10.38 8.49 12.29 34 17.18 19.12 16.74 15.96 17.31 18.19 17.77 35 14.25 12.77 13.52 13.08 13.43 13.21 14.72 36 0.88 0.84 0.86 0.94 0.76 0.96 0.97 37 2.54 2.48 2.35 2.59 2.41 2.70 2.72 38 0.63 0.61 0.62 0.62 0.60 0.58 0.63 Table 84.

Tables 85 and 86 hereinbelow provide the correlations (R) between the expression levels yield improving genes and their homologues in various tissues [Expression (Exp) sets] and the phenotypic performance [yield, biomass, growth rate and/or vigor components (Correlation vector (Cor))] under normal and defoliation conditions across maize varieties. P=p value.

TABLE 85 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under normal conditions across maize varieties Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1129 0.78 4.71E−03 2 35 LYM1130 0.71 6.37E−03 1 31 LYM1130 0.80 1.70E−03 3 30 LYM1130 0.75 4.96E−03 3 36 LYM1130 0.83 7.75E−04 3 45 LYM1131 0.75 3.07E−03 1 19 LYM1131 0.76 2.55E−03 1 20 LYM1131 0.76 2.55E−03 1 18 LYM1131 0.77 3.35E−03 3 44 LYM1131 0.73 1.15E−02 2 12 LYM1131 0.73 1.14E−02 2 16 LYM1131 0.78 4.42E−03 2 42 LYM1132 0.72 5.76E−03 1 22 LYM1132 0.70 1.54E−02 4 21 LYM1133 0.73 4.91E−03 1 34 LYM1133 0.72 5.63E−03 1 33 LYM1133 0.78 7.27E−03 2 8 LYM1134 0.72 7.90E−03 3 36 LYM1134 0.80 1.82E−03 3 28 LYM1134 0.79 2.15E−03 3 29 LYM1134 0.72 1.32E−02 2 40 LYM1134 0.78 4.32E−03 2 44 LYM1134 0.78 4.59E−03 2 10 LYM1136 0.81 2.76E−03 4 19 LYM1136 0.71 1.38E−02 4 11 LYM1136 0.72 1.25E−02 4 12 LYM1136 0.71 1.45E−02 4 16 LYM1136 0.72 1.30E−02 4 42 LYM1136 0.77 5.84E−03 4 10 LYM1136 0.81 2.66E−03 4 20 LYM1136 0.81 2.66E−03 4 18 LYM1136 0.78 4.99E−03 2 17 LYM1138 0.70 7.61E−03 1 2 LYM1138 0.86 7.58E−04 4 2 LYM1138 0.86 6.79E−04 4 41 LYM1138 0.75 1.33E−02 4 4 LYM1138 0.85 1.72E−03 4 14 LYM1138 0.71 2.27E−02 4 3 LYM1138 0.85 8.98E−04 4 48 LYM1138 0.76 7.00E−03 4 49 LYM1138 0.71 1.52E−02 4 20 LYM1138 0.74 9.59E−03 4 33 LYM1138 0.71 1.52E−02 4 18 LYM1139 0.74 3.81E−03 1 35 LYM1139 0.77 2.26E−03 1 49 LYM1139 0.71 9.21E−03 3 15 LYM1139 0.70 1.08E−02 3 48 LYM1139 0.79 2.32E−03 3 49 LYM1139 0.73 7.07E−03 3 10 LYM1139 0.76 4.00E−03 3 33 LYM1139 0.71 1.50E−02 2 24 LYM1139 0.74 8.83E−03 2 48 LYM1139 0.80 3.33E−03 2 22 LYM1139 0.80 3.31E−03 2 49 LYM1139 0.73 1.15E−02 2 33 LYM1140 0.74 5.96E−03 3 40 LYM1140 0.77 3.66E−03 3 28 LYM1140 0.71 1.36E−02 4 9 LYM1140 0.77 5.11E−03 4 27 LYM1141 0.75 4.93E−03 3 47 LYM1141 0.84 6.36E−04 3 32 LYM1141 0.72 7.79E−03 3 38 LYM1141 0.73 6.91E−03 3 25 LYM1141 0.77 5 .30E−03 4 47 LYM1141 0.88 3.56E−04 4 32 LYM1141 0.74 8.62E−03 4 40 LYM1142 0.71 6.26E−03 1 40 LYM1142 0.79 1.46E−03 1 39 LYM1142 0.90 2.36E−05 1 49 LYM1142 0.75 4.79E−03 3 40 LYM1142 0.74 9 .65E−03 4 19 LYM1142 0.76 6.61E−03 4 11 LYM1142 0.77 5.42E−03 4 16 LYM1142 0.73 1.55E−02 4 3 LYM1142 0.72 1.87E−02 4 5 LYM1142 0.73 1.13E−02 4 20 LYM1142 0.73 1.13E−02 4 18 LYM1143 0.72 5.66E−03 1 2 LYM1143 0.78 2.91E−03 3 2 LYM1143 0.78 2.75E−03 3 34 LYM1143 0.77 3.73E−03 3 28 LYM1143 0.74 9.04E−03 3 14 LYM1143 0.79 3.50E−03 4 19 LYM1143 0.75 8.05E−03 4 11 LYM1143 0.85 8.59E−04 4 2 LYM1143 0.75 8.44E−03 4 41 LYM1143 0.78 8.29E−03 4 4 LYM1143 0.73 1.01E−02 4 44 LYM1143 0.76 1.15E−02 4 14 LYM1143 0.72 1.89E−02 4 3 LYM1143 0.76 6.31E−03 4 29 LYM1143 0.80 3.10E−03 4 20 LYM1143 0.80 3.10E−03 4 18 LYM1143 0.90 1.55E−04 2 2 LYM1143 0.75 1.22E−02 2 14 LYM1143 0.73 1.15E−02 2 23 LYM1146 0.70 1.11E−02 3 49 LYM1146 0.72 1.30E−02 4 39 LYM1146 0.72 1.34E−02 2 28 LYM1146 0.85 9.22E−04 2 49 LYM1149 0.75 3.21E−03 1 45 LYM1149 0.72 7.91E−03 3 41 LYM1149 0.72 7.94E−03 3 29 LYM1149 0.75 8.28E−03 4 36 LYM1149 0.74 9.89E−03 4 29 LYM1149 0.72 1.28E−02 2 19 LYM1149 0.79 4.00E−03 2 11 LYM1149 0.77 5.42E−03 2 37 LYM1149 0.72 1.18E−02 2 31 LYM1149 0.79 3.49E−03 2 36 LYM1149 0.80 5.10E−03 2 4 LYM1149 0.93 8.86E−05 2 8 LYM1149 0.81 4.88E−03 2 3 LYM1149 0.71 1.42E−02 2 20 LYM1149 0.71 1.42E−02 2 18 LYM1151 0.74 8.77E−03 2 26 LYM1151 0.74 8.69E−03 2 42 LYM1152 0.75 7.98E−03 4 27 LYM1152 0.77 5.84E−03 4 43 LYM1153 0.74 3.76E−03 1 25 LYM1153 0.79 3.78E−03 4 13 LYM1153 0.82 2.02E−03 2 13 LYM1153 0.79 3.52E−03 2 10 LYM1153 0.81 2.52E−03 2 17 LYM1156 0.72 5.33E−03 1 31 LYM1156 0.79 1.47E−03 1 42 LYM1156 0.74 6.40E−03 3 37 LYM1156 0.71 9.50E−03 3 31 LYM1156 0.74 5.73E−03 3 28 LYM1156 0.81 2.33E−03 3 14 LYM1156 0.76 4.01E−03 3 29 LYM1156 0.73 1.11E−02 4 37 LYM1156 0.76 6.59E−03 4 30 LYM1156 0.72 1.25E−02 4 40 LYM1156 0.85 9.53E−04 4 7 LYM1156 0.76 6.29E−03 4 28 LYM1156 0.85 8.01E−04 4 29 LYM1158 0.75 7.41E−03 4 13 LYM1158 0.73 1.08E−02 2 9 LYM1158 0.79 6.25E−03 2 14 LYM1158 0.74 1.52E−02 2 5 LYM1159 0.75 2.91E−03 1 33 LYM1162 0.75 5.37E−03 1 5 LYM1162 0.79 2.37E−03 3 40 LYM1162 0.85 4.62E−04 3 28 LYM1162 0.72 1.33E−02 4 19 LYM1162 0.72 1.28E−02 4 11 LYM1162 0.72 1.26E−02 4 40 LYM1162 0.88 3.26E−04 4 28 LYM1162 0.79 3.89E−03 4 16 LYM1162 0.72 1.77E−02 4 5 LYM1162 0.71 1.51E−02 4 22 LYM1162 0.72 1.29E−02 4 20 LYM1162 0.72 1.29E−02 4 18 LYM1162 0.71 2.04E−02 2 4 LYM1163 0.75 4.65E−03 3 21 LYM1164 0.71 1.38E−02 4 13 LYM1164 0.71 1.49E−02 2 45 LYM1165 0.71 1.47E−02 4 48 LYM1165 0.77 6.02E−03 4 33 LYM1165 0.81 4.67E−03 2 5 LYM1167 0.73 6.52E−03 3 19 LYM1167 0.74 5.94E−03 3 11 LYM1167 0.77 3.16E−03 3 6 LYM1167 0.74 6.04E−03 3 20 LYM1167 0.74 6.04E−03 3 18 LYM1167 0.73 1.03E−02 4 29 LYM1167 0.77 6.07E−03 2 13 LYM1168 0.73 6.50E−03 3 29 LYM1168 0.72 1.27E−02 4 9 LYM1169 0.73 6.50E−03 3 32 LYM1169 0.78 4.88E−03 4 2 LYM1169 0.74 1.45E−02 4 14 LYM1169 0.70 2.30E−02 4 5 LYM1169 0.70 1.58E−02 2 10 LYM1170 0.71 6.22E−03 1 47 LYM1170 0.80 9.53E−04 1 32 LYM1171 0.79 2.12E−03 3 19 LYM1171 0.78 2.49E−03 3 11 LYM1171 0.84 6.86E−04 3 41 LYM1171 0.74 6.10E−03 3 28 LYM1171 0.78 3.02E−03 3 49 LYM1171 0.79 2.07E−03 3 20 LYM1171 0.79 2.07E−03 3 18 LYM1172 0.76 3.79E−03 3 37 LYM1172 0.79 3.97E−03 4 37 LYM1172 0.76 6.19E−03 4 31 LYM1172 0.85 9.93E−04 4 30 LYM1172 0.75 8.09E−03 4 7 LYM1172 0.85 9.04E−04 4 29 LYM1172 0.72 1.22E−02 2 11 LYM1172 0.71 1.41E−02 2 36 LYM1172 0.70 1.63E−02 2 41 LYM1172 0.83 1.43E−03 2 6 LYM1172 0.71 1.42E−02 2 40 LYM1172 0.82 1.80E−03 2 28 LYM1172 0.78 4.35E−03 2 29 LYM1173 0.72 5.52E−03 1 32 LYM1173 0.77 2.21E−03 1 26 LYM1173 0.77 2.09E−03 1 39 LYM1173 0.79 1.32E−03 1 38 LYM1174 0.82 5.24E−04 1 32 LYM1174 0.80 1.73E−03 3 25 LYM1174 0.70 1.55E−02 4 41 LYM1174 0.76 6.75E−03 4 48 LYM1175 0.76 1.14E−02 2 8 LYM1175 0.72 1.33E−02 2 1 LYM1176 0.71 1.41E−02 4 13 LYM1177 0.79 2.17E−03 3 49 LYM1177 0.74 9.40E−03 2 6 LYM1177 0.79 3 .50E−03 2 40 LYM1178 0.71 1.04E−02 3 27 LYM1178 0.78 4.91E−03 4 35 LYM1178 0.80 3.23E−03 4 1 LYM1178 0.71 1.50E−02 4 17 LYM1178 0.73 1.08E−02 2 35 LYM1179 0.78 2.96E−03 3 2 LYM1179 0.74 9.45E−03 4 40 LYM1179 0.74 9.46E−03 4 44 LYM1179 0.72 1.21E−02 4 28 LYM1180 0.76 2.49E−03 1 38 LYM1180 0.71 9.60E−03 3 19 LYM1180 0.78 3.06E−03 3 12 LYM1180 0.75 4.80E−03 3 40 LYM1180 0.71 1.01E−02 3 20 LYM1180 0.71 1.01E−02 3 18 LYM1181 0.83 4.13E−04 1 47 LYM1181 0.75 3.44E−03 1 46 LYM1181 0.78 1.71E−03 1 32 LYM1181 0.84 3.68E−04 1 26 LYM1181 0.80 1.13E−03 1 39 LYM1181 0.77 2.00E−03 1 42 LYM1181 0.72 5.17E−03 1 10 LYM1181 0.75 8.47E−03 4 13 LYM1181 0.72 1 .33E−02 2 24 LYM1181 0.73 1.58E−02 2 8 LYM1181 0.74 8.60E−03 2 1 LYM1181 0.78 4.83E−03 2 17 LYM1182 0.72 1.19E−02 4 34 LYM1183 0.70 7.25E−03 1 36 LYM1183 0.76 2.37E−03 1 29 LYM1184 0.74 6.29E−03 3 9 LYM1184 0.77 3.64E−03 3 40 LYM1184 0.70 1.07E−02 3 29 LYM1185 0.74 1.53E−02 2 8 LYM1186 0.83 4.73E−04 1 9 LYM1186 0.73 1.14E−02 4 33 LYM1187 0.71 9.84E−03 3 36 LYM1187 0.77 3.18E−03 3 45 LYM1187 0.74 9.25E−03 2 19 LYM1187 0.74 8.67E−03 2 11 LYM1187 0.78 4.86E−03 2 40 LYM1187 0.88 3.16E−04 2 28 LYM1187 0.73 1.13E−02 2 16 LYM1187 0.70 1.54E−02 2 22 LYM1187 0.75 8.43E−03 2 20 LYM1187 0.75 8.43E−03 2 18 LYM1163 0.76 3.76E−03 3 50 LYM1136 0.72 8.76E−03 3 50 LYM1139 0.77 3.27E−03 3 50 LYM1153 0.74 9.61E−03 2 50 Table 85.

TABLE 86 Correlation between the expression level of selected genes of some embodiments of the invention in various tissues and the phenotypic performance under defoliation treatment across maize varieties Gene P Exp. Corr. Set Gene P Exp. Corr. Set Name R value set ID Name R value set ID LYM1129 0.74 5.47E−03 3 14 LYM1129 0.74 9.12E−03 4 24 LYM1131 0.73 6.61E−03 1 24 LYM1131 0.75 4.82E−03 3 2 LYM1131 0.77 3.54E−03 3 31 LYM1131 0.75 4.60E−03 3 9 LYM1131 0.72 1.19E−02 4 26 LYM1133 0.71 9.86E−03 1 32 LYM1133 0.71 1.01E−02 2 20 LYM1133 0.80 1.63E−03 2 26 LYM1134 0.81 1.36E−03 1 30 LYM1134 0.71 1.47E−02 4 10 LYM1137 0.79 2.35E−03 2 24 LYM1138 0.75 5.34E−03 1 5 LYM1138 0.73 6.75E−03 1 4 LYM1138 0.78 2.98E−03 1 18 LYM1138 0.74 5.74E−03 1 17 LYM1138 0.70 1.11E−02 1 7 LYM1138 0.73 6.74E−03 1 3 LYM1138 0.74 5.63E−03 1 16 LYM1138 0.71 1.03E−02 3 24 LYM1138 0.91 3.83E−05 2 26 LYM1139 0.82 1.02E−03 1 29 LYM1140 0.71 1.03E−02 3 30 LYM1140 0.77 3.14E−03 2 35 LYM1140 0.70 1.61E−02 4 2 LYM1140 0.76 6.14E−03 4 9 LYM1140 0.70 1.54E−02 4 36 LYM1141 0.76 4.05E−03 1 30 LYM1141 0.84 5.61E−04 3 34 LYM1141 0.72 1.27E−02 4 34 LYM1142 0.80 1.94E−03 1 27 LYM1142 0.72 8.41E−03 1 12 LYM1142 0.78 2.61E−03 1 18 LYM1142 0.70 1.05E−02 1 17 LYM1142 0.70 1.05E−02 1 16 LYM1142 0.79 2.09E−03 3 12 LYM1142 0.85 4.32E−04 2 12 LYM1142 0.70 1.64E−02 4 24 LYM1143 0.80 1.77E−03 3 28 LYM1143 0.72 8.59E−03 3 23 LYM1143 0.75 4.76E−03 3 32 LYM1143 0.78 2.54E−03 3 11 LYM1143 0.81 1.25E−03 3 18 LYM1143 0.87 2.31E−04 3 17 LYM1143 0.81 1.27E−03 3 7 LYM1143 0.83 8.99E−04 3 10 LYM1143 0.86 2.81E−04 3 16 LYM1143 0.71 1.02E−02 2 28 LYM1143 0.71 1.04E−02 2 32 LYM1143 0.71 9.11E−03 2 11 LYM1143 0.70 1.12E−02 2 18 LYM1143 0.80 1.86E−03 2 17 LYM1143 0.81 1.39E−03 2 10 LYM1143 0.79 2.18E−03 2 16 LYM1143 0.77 5.51E−03 4 23 LYM1143 0.71 1.44E−02 4 2 LYM1143 0.73 1.02E−02 4 32 LYM1143 0.72 1.31E−02 4 17 LYM1143 0.71 1.35E−02 4 10 LYM1143 0.71 1.51E−02 4 16 LYM1149 0.71 1.04E−02 1 14 LYM1149 0.81 1.36E−03 1 1 LYM1151 0.75 4.74E−03 1 13 LYM1151 0.71 1.35E−02 4 15 LYM1151 0.70 1.59E−02 4 14 LYM1152 0.76 3.77E−03 2 26 LYM1153 0.73 7.05E−03 1 12 LYM1153 0.84 7.21E−04 1 1 LYM1153 0.74 5.83E−03 2 34 LYM1153 0.77 3.17E−03 2 1 LYM1154 0.72 8.27E−03 3 10 LYM1155 0.75 5.33E−03 1 12 LYM1155 0.72 8.37E−03 2 36 LYM1156 0.74 6.11E−03 1 23 LYM1157 0.71 9.33E−03 1 35 LYM1157 0.76 4.42E−03 1 25 LYM1157 0.70 1.09E−02 1 37 LYM1157 0.79 2.13E−03 2 2 LYM1158 0.79 2.33E−03 1 30 LYM1158 0.78 2.67E−03 1 24 LYM1159 0.71 9.95E−03 3 25 LYM1159 0.90 1.68E−04 4 25 LYM1159 0.72 1.33E−02 4 37 LYM1160 0.78 2.50E−03 1 30 LYM1160 0.71 9.64E−03 2 37 LYM1160 0.74 8.60E−03 4 25 LYM1161 0.73 6.74E−03 1 24 LYM1161 0.71 1.49E−02 4 19 LYM1162 0.73 6.67E−03 1 27 LYM1162 0.80 1.64E−03 1 18 LYM1162 0.71 9.53E−03 1 17 LYM1162 0.75 5.38E−03 1 24 LYM1162 0.71 1.01E−02 1 16 LYM1162 0.81 1.36E−03 3 2 LYM1162 0.79 2.49E−03 2 35 LYM1162 0.73 7.54E−03 2 25 LYM1162 0.83 1.76E−03 4 25 LYM1162 0.79 3.60E−03 4 37 LYM1163 0.77 3.08E−03 1 27 LYM1163 0.76 4.45E−03 1 26 LYM1163 0.79 2.12E−03 3 26 LYM1163 0.75 7.91E−03 4 25 LYM1163 0.73 1.09E−02 4 26 LYM1165 0.79 3.71E -03 4 26 LYM1167 0.80 3.05E−03 4 37 LYM1168 0.77 3.24E−03 3 2 LYM1169 0.72 8.51E−03 2 23 LYM1170 0.72 8.78E−03 1 13 LYM1170 0.77 3.34E−03 1 18 LYM1170 0.71 9.63E−03 1 17 LYM1170 0.72 8.03E−03 1 8 LYM1170 0.70 1.09E−02 1 16 LYM1171 0.71 1.39E−02 4 14 LYM1172 0.79 2.19E−03 1 5 LYM1172 0.76 3.95E−03 1 32 LYM1172 0.76 4.43E−03 1 17 LYM1172 0.83 7.43E−04 1 10 LYM1172 0.76 4.25E−03 1 16 LYM1172 0.76 4.31E−03 3 34 LYM1172 0.81 1.51E−03 3 1 LYM1172 0.80 3.03E−03 4 7 LYM1173 0.79 2.22E−03 3 35 LYM1173 0.91 3.79E−05 3 25 LYM1173 0.74 6.00E−03 3 37 LYM1174 0.72 8.01E−03 1 34 LYM1174 0.80 1.97E−03 3 34 LYM1174 0.74 6.43E−03 2 25 LYM1174 0.84 1.36E−03 4 20 LYM1174 0.74 8.78E−03 4 26 LYM1175 0.72 1.33E−02 4 33 LYM1176 0.76 4.34E−03 3 34 LYM1176 0.77 3.28E−03 3 15 LYM1176 0.80 1.87E−03 3 14 LYM1176 0.85 8.21E−04 4 15 LYM1176 0.83 1.67E−03 4 14 LYM1176 0.75 7.91E−03 4 10 LYM1176 0.70 1.58E−02 4 16 LYM1177 0.81 1.30E−03 3 1 LYM1178 0.74 5.55E−03 3 27 LYM1178 0.76 4.43E−03 3 26 LYM1178 0.71 9.14E−03 2 27 LYM1178 0.78 2.61E−03 2 26 LYM1178 0.87 4.45E−04 4 26 LYM1179 0.71 9.65E−03 3 34 LYM1179 0.72 8.50E−03 3 1 LYM1179 0.71 1.01E−02 2 21 LYM1179 0.72 1.19E−02 4 5 LYM1179 0.73 1.12E−02 4 6 LYM1180 0.72 8.66E−03 1 31 LYM1180 0.81 1.25E−03 3 25 LYM1180 0.75 8.39E−03 4 5 LYM1180 0.76 6.13E−03 4 4 LYM1180 0.88 3.84E−04 4 32 LYM1180 0.77 6.00E−03 4 11 LYM1180 0.81 2.26E−03 4 18 LYM1180 0.78 4.58E−03 4 17 LYM1180 0.79 4.11E−03 4 3 LYM1180 0.75 7.88E−03 4 10 LYM1180 0.79 4.20E−03 4 16 LYM1181 0.72 8.26E−03 1 21 LYM1181 0.76 3.87E−03 2 27 LYM1181 0.76 4.49E−03 2 4 LYM1181 0.72 8.65E−03 2 14 LYM1181 0.76 3.87E−03 2 13 LYM1181 0.73 7.16E−03 2 32 LYM1181 0.79 2.27E−03 2 11 LYM1181 0.81 1.31E−03 2 18 LYM1181 0.85 4.31E−04 2 17 LYM1181 0.76 4.06E−03 2 3 LYM1181 0.85 4.63E−04 2 10 LYM1181 0.85 4.20E−04 2 16 LYM1181 0.70 1.64E−02 4 35 LYM1182 0.76 6.10E−03 4 28 LYM1182 0.76 6.28E−03 4 7 LYM1183 0.70 1.05E−02 1 12 LYM1184 0.72 8.95E−03 1 30 LYM1184 0.75 5.03E−03 1 36 LYM1184 0.70 1.12E−02 1 24 LYM1184 0.82 1.09E−03 3 2 LYM1184 0.74 6.31E−03 3 9 LYM1184 0.75 4.65E−03 2 35 LYM1184 0.73 7.13E−03 2 25 LYM1185 0.78 2.58E−03 1 6 LYM1185 0.70 1.09E−02 3 15 LYM1185 0.71 9.38E−03 3 11 LYM1185 0.80 1.87E−03 3 6 LYM1185 0.71 1.00E−02 3 18 LYM1185 0.76 4.11E−03 2 5 LYM1185 0.79 2.22E−03 2 6 LYM1185 0.74 5.70E−03 2 7 LYM1186 0.70 1.07E−02 1 33 LYM1187 0.71 1.04E−02 2 12 LYM1187 0.78 2.97E−03 2 24 LYM1187 0.71 1.48E−02 4 26 LYM1181 0.75 4.54E−03 2 38 LYM1129 0.73 6.75E−03 3 38 LYM1130 0.74 5.60E−03 2 38 LYM1134 0.79 4.01E−03 4 38 LYM1141 0.72 7.70E−03 3 38 LYM1149 0.81 1.45E−03 1 38 LYM1154 0.75 4.59E−03 3 38 LYM1171 0.78 4.78E−03 4 38 LYM1172 0.72 7.84E−03 3 38 LYM1174 0.74 5.77E−03 3 38 LYM1176 0.82 1.13E−03 3 38 LYM1176 0.77 5.93E−03 4 38 LYM1177 0.71 9.47E−03 1 38 Table 86.

Example 14 Production of Barley Transcriptome and High Throughput Correlation Analysis Using 60K Barley Oligonucleotide Micro-Array

In order to produce a high throughput correlation analysis, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem.(dot)agilent(dot)com/Scripts/PDS(dot)asp?1Page=50879]. The array oligonucleotide represents about 33,777 Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 55 different Barley accessions were analyzed. Same accessions were subjected to RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane(dot)com/hyperstat/A34739(dot)html].

Experimental Procedures

Four tissues at different developmental stages [leaf, flag leaf, spike and peduncle], representing different plant characteristics, were sampled and RNA was extracted as described hereinabove under “GENERAL EXPERIMENTAL AND BIOINFORMATICS METHODS”.

For convenience, each micro-array expression information tissue type has received a Set ID as summarized in Table 87 below.

TABLE 87 Barley transcriptome expression sets Expression Set Set ID Flag leaf at booting stage under normal conditions 1 Spike at grain filling stage under normal conditions 2 Spike at booting stage under normal conditions 3 Stem at booting stage under normal conditions 4 Table 87: Provided are the identification (ID) letters of each of the Barley expression sets.

Barley yield components and vigor related parameters assessment—55 Barley accessions in 5 repetitive blocks (named A, B, C, D and E), each containing 48 plants per plot were grown in field. Plants were phenotyped on a daily basis. Harvest was conducted while 50% of the spikes were dry to avoid spontaneous release of the seeds. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb(dot)nih(dot)gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-E were collected, and the following measurements were performed:

% reproductive tiller percentage—The percentage of reproductive tillers at flowering was performed using Formula XXVI above.

1000 grain weight (gr)—At the end of the experiment all grains from all plots were collected and weighted and the weight of 1000 were calculated.

Average seedling dry weight (gr)—Weight of seedling after drying/number of plants.

Average shoot dry weight (gr)—Weight of Shoot at flowering stage after drying/number of plants.

Average spike weight (g)—Calculate spikes dry weight after drying at 70° C. in oven for 48 hours, at harvest/num of spikes.

Average spike dry weight per plant (g)—At the end of the experiment the biomass and spikes weight of each plot was separated, measured and divided by the number of plants.

Vegetative dry weight (g)—Total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours. The biomass weight of each plot was measured and divided by the number of plants.

Field spike length (cm)—Measure spike length without the Awns at harvest.

Grain Area (cm²)—A sample of −200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.

Grain Length and Grain width (cm)—A sample of −200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.

Grain Perimeter (cm)—A sample of −200 grains were weight, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.

Grains per spike—The total number of grains from 5 spikes that were manually threshed was counted. The average grain per spike was calculated by dividing the total grain number by the number of spikes.

Grain yield per plant (gr)—The total grains from 5 spikes that were manually threshed were weighted. The grain yield was calculated by dividing the total weight by the plants number.

Grain yield per spike (gr)—The total grains from 5 spikes that were manually threshed were weighted. The grain yield was calculated by dividing the total weight by the spike number.

Growth habit scoring—At growth stage 10 (booting), each of the plants was scored for its growth habit nature. The scale that was used was 1 for prostate nature till 9 for erect.

Harvest Index (for Barley)—The harvest index was performed using Formula XVIII (above).

Number days to anthesis—Calculated as the number of days from sowing till 50% of the plot arrive anthesis.

Number days to maturity—Calculated as the number of days from sowing till 50% of the plot arrive maturity.

Plant height—At harvest stage (50% of spikes were dry), each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns.

Reproductive period—Calculate number of days from booting to maturity.

Reproductive tillers number—Number of Reproductive tillers with flag leaf at flowering.

Relative Growth Rate—RGR of vegetative dry weight was performed using Formula VII above.

Spike area (cm²)—At the end of the growing period 5 ‘spikes’ were photographed and images were processed using the below described image processing system. The ‘spike’ area was measured from those images and was divided by the number of ‘spikes’.

Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.

Spike max width—Measured by imaging the max width of 10-15 spikes randomly distributed within a pre-defined 0.5 m2 of a plot. Measurements were carried out at the middle of the spike.

Spikes Index—The Spikes index was performed using Formula XXVII above.

Spike number analysis—The spikes per plant were counted at harvest.

No. of tillering—tillers were counted per plant at heading stage (mean per plot).

Total dry mater per plant—Calculated as Vegetative portion above ground plus all the spikes dry weight per plant.

TABLE 88 Barley correlated parameters (vectors) Correlated parameter with Correlation ID % reproductive tiller percentage (%) 1 1000 grain weight (gr) 2 Average spike dry weight per plant (H) (g) 3 Average vegetative dry weight per plant (H) (g) 4 Average shoot dry weight (F) (gr) 5 Average spike weight (H) (g) 6 Grain Perimeter (cm) 7 Grain Area (cm²) 8 Grain Length (cm) 9 Grain width (cm) 10 Grains per spike (number) 11 Grain yield per plant (gr) 12 Grain yield per spike (gr) 13 Growth habit (scores 1-9) 14 Harvest Index (value) 15 Number days to anthesis (days) 16 Number days to maturity (days) 17 Plant height (cm) 18 RGR 19 Reproductive period (days) 20 Reproductive tillers number (F) (number) 21 Spike area (cm²) 22 Spike length (cm) 23 Spike width (cm) 24 Spike max width (cm) 25 Spike index (cm) 26 Spikes per plant (numbers) 27 Tillering (Heading) (number) 28 Total dry matter per plant (kg) 29 Average seedling dry weight (gr) 30 Field spike length (cm) 31 Table 88. Provided are the Barley correlated parameters (vectors).

Experimental Results

55 different Barley accessions were grown and characterized for 31 parameters as described above. Among the 55 lines and ecotypes, 27 are Hordeum spontaneum and 19 are Hordeum vulgare. The average for each of the measured parameters of all Barley accessions was calculated using the JMP software and values are summarized in Tables 89-96 below. Subsequent correlation analysis across all 55 lines and ecotypes between the various transcriptome expression sets (Table 87) and the average parameters was conducted and results were integrated to the database (Table 104 below). Tables 97-100 show phenotypic data of Hordeum spontaneum lines and ecotypes, and the correlation data between the various transcriptome expression sets (Table 87) and the average parameters is shown in Table 105 below. Tables 101-103 show phenotypic data of Hordeum vulgare lines and ecotypes, and the correlation data between the various transcriptome expression sets (Table 87) and the average parameters is shown in Table 106 below.

TABLE 89 Measured parameters of correlation IDs in Barley accessions Provided are the values of each of the parameters measured in Barley accessions (1-7) according to the correlation identifications (see Table 88). Ecotype/ Treatment Line-1 Line-2 Line-3 Line-4 Line-5 Line-6 Line-7 1 4.31 18.25 9.16 40.15 33.22 NA 7.86 2 50.11 49.98 31.77 52.43 47.22 49.33 53.02 3 80.88 60.47 36.42 69.45 61.03 63.22 88.26 4 46.33 85.03 82.74 127.37 79.51 82.95 68.92 5 11.34 52.57 48.28 126.89 60.56 NA 31.40 6 3.33 1.56 2.37 3.11 3.18 2.85 3.37 7 2.62 2.41 2.31 2.67 2.62 2.59 2.59 8 0.30 0.28 0.24 0.30 0.29 0.29 0.30 9 1.09 0.97 0.92 1.07 1.09 1.07 1.05 10 0.40 0.41 0.35 0.41 0.39 0.39 0.41 11 56.51 21.05 45.16 44.35 47.12 43.51 55.88 12 64.98 37.47 NA 51.69 49.15 46.44 NA 13 2.91 1.02 1.37 2.33 2.23 2.14 2.85 14 4.20 1.00 1.40 2.60 2.60 1.00 2.60 15 0.51 0.25 NA 0.26 0.35 0.32 NA 16 90.80 124.40 122.00 NA 122.00 NA 102.60 17 148.00 170.00 157.00 170.00 167.40 170.00 158.80 18 83.97 79.87 99.04 122.46 108.03 87.00 97.03 19 2.45 3.96 3.91 4.75 4.12 NA 3.24 20 57.20 45.60 35.00 NA 48.00 NA 56.20 21 1.00 9.20 5.00 19.20 14.63 NA 2.80 22 9.90 7.82 9.68 11.07 10.17 9.98 9.94 23 9.49 10.26 7.88 7.97 8.42 8.12 7.61 24 1.23 0.87 1.44 1.68 1.47 1.51 1.57 25 1.41 1.05 1.59 1.79 1.60 1.61 1.70 26 0.64 0.42 0.30 0.35 0.44 0.43 0.56 27 45.27 56.27 31.50 32.42 35.40 36.73 36.93 28 24.00 48.70 52.00 47.60 45.00 NA 35.20 29 127.22 145.50 119.15 196.82 140.54 146.17 157.18 30 0.053 0.059 0.044 0.051 0.053 0.047 0.066 31 9.57 NA 7.66 7.93 8.13 NA 7.21 Table 89: Provided are the values of each of the parameters measured in Barley accessions (1-7) according to the correlation identifications (see Table 88).

TABLE 90 Barley accessions, additional measured parameters Ecotype/ Treatment Line-8 Line-9 Line-10 Line-11 Line-12 Line-13 Line-14 1 16.67 5.64 5.29 18.34 4.03 8.83 4.82 2 61.33 49.97 51.70 56.46 53.97 50.36 56.81 3 91.89 99.05 66.99 60.22 87.61 71.76 76.71 4 82.88 56.80 64.14 54.23 73.23 49.50 47.63 5 44.57 9.71 38.18 46.74 42.32 11.62 9.33 6 4.13 3.47 3.15 1.88 3.35 3.60 3.24 7 2.78 2.66 2.63 2.28 2.54 2.37 2.71 8 0.33 0.29 0.30 0.28 0.30 0.27 0.32 9 1.15 1.09 1.08 0.88 1.03 0.96 1.12 10 0.42 0.39 0.39 0.45 0.42 0.41 0.41 11 58.33 56.03 59.08 27.27 55.87 61.53 50.80 12 78.18 79.86 54.34 46.37 71.89 56.24 61.63 13 3.47 2.60 2.84 1.51 2.84 2.98 2.85 14 1.00 5.00 3.00 1.00 1.00 2.20 3.00 15 0.45 0.51 0.41 0.40 0.45 0.48 0.50 16 111.60 86.80 106.20 117.80 111.60 85.40 90.00 17 156.20 159.60 157.00 162.20 159.60 157.00 150.50 18 104.01 70.78 98.11 57.88 94.52 73.20 78.65 19 3.82 2.30 3.60 3.83 3.63 2.43 2.26 20 44.60 72.80 50.80 44.40 46.00 71.60 61.50 21 6.30 1.20 2.10 10.00 2.60 1.63 1.00 22 9.89 9.58 11.19 8.76 10.49 10.83 11.23 23 6.39 7.73 8.45 10.55 7.60 7.87 9.42 24 1.83 1.50 1.57 0.96 1.63 1.63 1.43 25 1.93 1.59 1.71 1.17 1.75 1.72 1.58 26 0.51 0.64 0.51 0.53 0.55 0.61 0.62 27 32.10 48.53 29.80 50.80 32.40 26.80 42.42 28 38.50 21.50 36.10 57.25 42.20 19.13 21.63 29 178.63 155.85 131.13 114.45 160.84 121.26 124.34 30 0.052 0.062 0.051 0.062 0.060 0.056 0.045 31 5.65 7.94 8.55 10.59 7.44 7.36 9.60 Table 90. Provided are the values of each of the parameters measured in Barley accessions (8-14) according to the correlation identifications (see Table 88).

TABLE 91 Barley accessions, additional measured parameters Ecotype/Treatment Line-15 Line-16 Line-17 Line-18 Line-19 Line-20 Line-21 1 29.49 5.01 3.74 11.42 5.13 4.07 6.62 2 57.98 51.44 58.07 53.45 48.66 39.48 41.96 3 81.14 77.90 68.17 70.73 54.13 48.72 64.51 4 66.51 77.50 81.58 67.92 81.05 66.73 91.79 5 47.56 30.93 NA 35.49 38.41 NA 41.56 6 3.12 1.69 1.66 3.50 1.16 2.95 1.36 7 2.90 2.28 2.42 2.65 2.16 2.16 2.45 8 0.34 0.27 0.30 0.30 0.26 0.23 0.23 9 1.22 0.89 0.96 1.08 0.83 0.85 0.94 10 0.41 0.42 0.44 0.40 0.42 0.39 0.36 11 45.48 24.77 21.15 59.72 17.46 63.19 19.87 12 64.82 56.43 49.68 54.97 40.33 NA NA 13 2.39 1.21 1.18 2.93 0.83 2.38 0.78 14 1.00 1.00 3.80 3.80 1.00 3.40 1.00 15 0.44 0.36 0.33 0.40 0.29 NA NA 16 113.20 113.40 98.50 109.60 119.40 98.80 119.40 17 158.00 170.00 170.00 155.20 170.00 156.20 170.00 18 90.73 64.27 82.73 94.12 63.47 102.12 94.80 19 3.89 3.46 NA 3.60 3.64 NA 3.74 20 44.80 56.60 71.50 45.60 50.60 57.40 50.60 21 17.00 3.00 1.00 3.80 4.20 1.00 4.63 22 7.89 9.15 8.57 11.30 7.04 8.37 7.28 23 6.68 12.05 10.74 8.60 8.94 6.03 10.99 24 1.45 0.88 0.92 1.56 0.92 1.67 0.76 25 1.52 1.03 1.10 1.72 1.08 1.75 0.90 26 0.55 0.50 0.45 0.51 0.39 0.42 0.41 27 39.73 71.33 65.40 33.27 82.47 32.87 73.13 28 59.80 62.50 31.20 34.00 78.90 26.50 69.88 29 147.66 155.41 149.76 138.64 135.18 115.45 156.29 30 0.051 0.037 0.047 0.043 0.056 0.053 0.055 31 6.23 NA NA 8.57 NA 6.26 NA Table 91. Provided are the values of each of the parameters measured in Barley accessions (15-21) according to the correlation identifications (see Table 88).

TABLE 92 Barley accessions, additional measured parameters Ecotype/Treatment Line-22 Line-23 Line-24 Line-25 Line-26 Line-27 Line-28 1 3.51 7.34 31.12 NA NA 11.07 21.67 2 18.60 42.65 39.67 24.43 28.42 28.40 23.52 3 33.60 33.22 52.10 33.28 47.69 52.78 52.54 4 50.17 45.22 67.20 43.40 79.51 61.09 59.71 5 174.82 8.39 51.83 NA NA 38.46 38.79 6 0.90 3.09 1.22 0.91 0.92 1.08 0.95 7 2.65 2.19 2.44 2.90 2.62 2.66 2.68 8 0.25 0.25 0.25 0.27 0.25 0.25 0.24 9 1.11 0.88 0.96 1.20 1.07 1.08 1.11 10 0.31 0.39 0.37 0.32 0.32 0.33 0.31 11 16.30 60.49 17.54 12.00 20.01 20.00 17.01 12 NA NA NA NA NA NA NA 13 0.31 2.43 0.67 0.31 0.56 0.56 0.38 14 1.00 3.00 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA NA 16 95.60 90.00 111.00 83.60 122.00 111.40 109.20 17 133.00 161.40 145.80 140.20 153.00 143.00 140.40 18 90.49 88.53 90.10 92.47 99.08 91.69 94.67 19 5.01 2.12 3.97 NA NA 3.67 3.68 20 37.40 71.40 34.80 56.60 31.00 31.60 31.20 21 1.88 1.00 15.50 NA NA 7.10 15.70 22 4.98 11.56 6.52 5.39 8.16 8.08 5.73 23 8.58 9.02 8.63 7.96 10.20 10.52 8.35 24 0.68 1.53 0.88 0.81 0.97 0.92 0.78 25 0.79 1.68 1.01 0.88 1.05 1.01 0.90 26 0.41 0.42 0.44 0.44 0.38 0.46 0.47 27 88.07 20.53 48.53 51.33 65.80 55.80 65.60 28 55.25 14.00 48.50 NA NA 69.00 76.40 29 83.76 78.44 119.30 76.68 127.20 113.88 112.25 30 0.027 0.058 0.047 0.048 0.044 0.045 0.046 31 9.74 9.06 8.69 8.90 10.13 10.61 9.60 Table 92. Provided are the values of each of the parameters measured in Barley accessions (22-28) according to the correlation identifications (see Table 88).

TABLE 93 Barley accessions, additional measured parameters Ecotype/Treatment Line-29 Line-30 Line-31 Line-32 Line-33 Line-34 Line-35 1 3.93 16.51 3.19 10.55 26.51 15.15 4.28 2 45.71 26.47 23.14 27.64 29.37 27.74 42.12 3 83.98 47.05 48.92 47.26 48.82 46.56 89.21 4 45.36 60.37 67.39 67.12 61.35 59.03 71.31 5 10.63 29.60 14.28 37.74 39.23 34.46 41.16 6 2.99 0.85 0.85 0.89 1.10 1.09 2.93 7 2.77 2.66 2.57 2.93 3.16 2.99 2.97 8 0.30 0.25 0.24 0.29 0.33 0.29 0.30 9 1.13 1.09 1.06 1.23 1.33 1.27 1.16 10 0.39 0.32 0.32 0.33 0.34 0.32 0.39 11 56.85 18.19 13.50 12.83 14.49 13.72 54.84 12 NA NA NA NA NA NA NA 13 2.63 0.46 0.31 0.37 0.43 0.39 2.14 14 2.20 1.00 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA NA 16 89.20 104.00 89.20 97.80 113.60 109.20 110.40 17 151.60 140.20 140.40 140.40 145.80 143.00 156.20 18 66.65 105.78 112.21 103.83 105.74 107.45 100.65 19 2.37 3.42 2.67 3.64 3.65 3.51 3.74 20 62.40 36.20 51.20 42.60 32.20 33.80 45.80 21 1.00 12.30 1.10 8.50 18.67 11.00 2.50 22 8.94 4.69 5.47 5.92 6.16 6.88 11.03 23 7.75 6.85 8.51 8.32 9.80 9.28 8.77 24 1.37 0.81 0.75 0.83 0.74 0.88 1.53 25 1.52 0.91 0.85 0.96 0.82 0.94 1.60 26 0.65 0.44 0.42 0.41 0.41 0.44 0.56 27 44.87 77.13 85.00 67.53 50.87 55.67 38.60 28 26.50 76.60 35.30 75.30 68.50 66.80 55.80 29 129.34 107.42 116.31 114.38 104.47 105.59 160.52 30 0.049 0.037 0.044 0.047 0.042 0.056 0.051 31 7.97 8.24 9.14 8.71 9.82 10.00 8.47 Table 93. Provided are the values of each of the parameters measured in Barley accessions (29-35) according to the correlation identifications (see Table 88).

TABLE 94 Barley accessions, additional measured parameters Ecotype/Treatment Line-36 Line-37 Line-38 Line-39 Line-40 Line-41 Line-42 1 9.46 4.75 NA 4.60 21.49 21.20 14.49 2 26.38 19.78 31.00 47.79 32.57 36.89 24.24 3 43.46 27.36 44.56 69.91 44.21 50.54 44.04 4 48.56 31.46 59.31 43.15 72.36 91.79 63.37 5 23.84 11.91 NA 8.31 55.42 55.88 31.34 6 0.74 1.15 1.32 3.51 1.45 1.40 0.93 7 3.17 2.74 2.69 2.93 2.38 2.67 3.05 8 0.30 0.26 0.26 0.32 0.23 0.28 0.30 9 1.30 1.11 1.10 1.21 0.95 1.09 1.28 10 0.31 0.32 0.33 0.39 0.33 0.36 0.33 11 11.25 16.11 21.71 58.20 34.19 20.75 11.50 12 NA NA NA NA NA NA NA 13 0.24 0.32 0.66 2.82 0.94 0.75 0.31 14 1.00 1.00 1.00 3.80 1.00 1.40 1.00 15 NA NA NA NA NA NA NA 16 108.40 91.60 115.60 84.20 118.00 116.80 111.00 17 140.40 133.00 145.80 148.00 153.80 144.20 140.20 18 106.34 78.29 107.63 77.57 93.91 126.08 107.15 19 3.17 2.50 NA 2.12 4.03 NA 3.44 20 32.00 41.40 30.20 63.80 36.00 27.40 29.25 21 7.40 1.50 NA 0.81 14.80 15.50 10.70 22 5.17 7.72 8.37 7.41 7.83 8.38 5.09 23 7.81 11.96 11.32 7.52 8.33 10.12 8.27 24 0.79 0.75 0.86 1.16 1.15 0.99 0.72 25 0.91 0.92 0.94 1.31 1.24 1.06 0.82 26 0.47 0.48 0.43 0.62 0.37 0.36 0.41 27 64.67 50.93 48.40 32.00 43.40 45.80 73.53 28 69.30 32.20 NA 15.81 66.40 75.13 71.20 29 92.02 58.82 110.88 113.06 116.57 149.88 107.41 30 0.056 0.033 0.036 0.062 0.049 NA 0.057 31 8.36 12.49 11.03 8.21 7.97 10.44 8.66 Table 94. Provided are the values of each of the parameters measured in Barley accessions (36-42) according to the correlation identifications (see Table 88).

TABLE 95 Barley accessions, additional measured parameters Ecotype/Treatment Line-43 Line-44 Line-45 Line-46 Line-47 Line-48 Line-49 1 17.05 12.52 9.87 10.75 10.80 14.99 16.12 2 27.81 23.34 31.77 27.36 25.70 24.92 26.31 3 50.12 40.37 55.92 33.55 31.74 50.70 44.59 4 69.41 58.51 61.56 42.29 41.24 71.38 73.03 5 32.88 35.99 42.56 19.47 26.16 39.22 49.89 6 0.96 0.82 1.34 1.16 1.18 0.94 1.05 7 2.77 2.94 3.18 3.06 2.75 2.62 2.99 8 0.26 0.29 0.33 0.30 0.26 0.24 0.29 9 1.14 1.25 1.32 1.25 1.13 1.06 1.25 10 0.33 0.32 0.35 0.34 0.32 0.32 0.33 11 17.55 10.65 15.98 14.58 17.44 18.90 14.60 12 NA NA NA NA NA NA NA 13 0.47 0.25 0.53 0.43 0.45 0.47 0.40 14 1.00 1.00 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA NA 16 111.00 111.00 111.00 99.20 105.80 111.00 117.20 17 146.00 140.20 143.00 133.00 133.00 143.00 148.20 18 106.69 96.26 99.81 91.75 80.80 105.57 101.87 19 3.52 3.60 3.75 2.94 3.29 3.68 3.84 20 35.00 29.20 32.00 33.80 27.20 32.00 31.00 21 15.00 11.70 6.90 5.50 10.30 12.40 13.33 22 5.03 4.88 8.33 7.43 6.71 6.61 7.10 23 8.45 7.95 10.21 11.52 10.17 9.09 9.79 24 0.65 0.72 0.96 0.76 0.77 0.94 0.85 25 0.76 0.82 1.04 0.91 0.92 0.97 0.95 26 0.42 0.41 0.48 0.44 0.46 0.42 0.38 27 79.33 61.67 49.13 55.10 56.67 62.20 70.93 28 86.70 90.70 71.40 58.50 90.90 87.50 108.50 29 119.53 98.88 117.49 75.84 72.98 122.08 117.62 30 0.040 0.034 0.048 0.045 0.039 0.065 0.046 31 9.91 8.51 10.18 11.82 10.58 9.42 10.04 Table 95. Provided are the values of each of the parameters measured in Barley accessions (43-49) according to the correlation identifications (see Table 88).

TABLE 96 Barley accessions, additional measured parameters Ecotype/ Line- Treatment 50 Line-51 Line-52 Line-53 Line-54 Line-55 1 31.13 NA 15.51 6.88 7.07 6.72 2 30.08 24.82 26.46 21.49 43.66 47.91 3 36.91 26.20 57.49 47.76 43.70 68.61 4 50.75 52.91 73.30 65.81 56.28 NA 5 37.91 NA 38.72 29.92 14.62 67.47 6 1.01 1.01 0.84 0.75 3.71 2.78 7 3.06 3.24 2.90 2.65 2.24 2.56 8 0.31 0.32 0.26 0.25 0.25 0.28 9 1.26 1.36 1.17 1.10 0.88 1.05 10 0.35 0.33 0.32 0.31 0.40 0.38 11 13.58 13.07 19.84 17.16 65.39 43.77 12 NA NA NA NA 34.58 53.97 13 0.40 0.32 0.50 0.38 2.64 2.06 14 1.00 1.00 1.00 1.00 5.00 1.80 15 NA NA NA NA 0.35 NA 16 113.00 122.60 111.00 107.60 88.40 128.00 17 143.60 152.00 142.40 140.40 157.00 170.00 18 95.35 80.26 105.02 98.42 93.79 90.30 19 NA NA 3.66 3.41 2.18 4.23 20 30.60 29.40 31.40 32.80 68.60 42.00 21 20.20 NA 18.30 6.60 2.50 3.10 22 6.86 8.62 7.16 5.75 10.74 10.04 23 9.38 11.73 10.01 8.78 8.54 8.59 24 0.87 0.87 0.86 0.77 1.49 1.45 25 0.94 0.97 0.94 0.89 1.68 1.57 26 0.42 0.33 0.44 0.42 0.44 NA 27 39.27 45.00 74.58 74.53 20.80 38.00 28 64.60 NA 113.50 95.60 15.60 43.20 29 87.66 79.11 130.79 113.58 99.98 NA 30 NA 0.040 0.040 0.045 0.053 0.054 31 9.41 11.67 10.60 9.72 8.26 9.22 Table 96. Provided are the values of each of the parameters measured in Barley accessions (50-55) according to the correlation identifications (see Table 88).

TABLE 97 Measured parameters of correlation Ids in Barley Hordeum spontaneum accessions Ecotype/ Treatment Line-21 Line-22 Line-24 Line-25 Line-26 Line-27 Line-28 1 6.62 3.51 31.12 NA NA 11.07 21.67 2 41.96 18.60 39.67 24.43 28.42 28.40 23.52 3 64.51 33.60 52.10 33.28 47.69 52.78 52.54 4 91.79 50.17 67.20 43.40 79.51 61.09 59.71 5 41.56 174.82 51.83 NA NA 38.46 38.79 6 1.36 0.90 1.22 0.91 0.92 1.08 0.95 7 2.45 2.65 2.44 2.90 2.62 2.66 2.68 8 0.23 0.25 0.25 0.27 0.25 0.25 0.24 9 0.94 1.11 0.96 1.20 1.07 1.08 1.11 10 0.36 0.31 0.37 0.32 0.32 0.33 0.31 11 19.87 16.30 17.54 12.00 20.01 20.00 17.01 12 NA NA NA NA NA NA NA 13 0.78 0.31 0.67 0.31 0.56 0.56 0.38 14 1.00 1.00 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA NA 16 119.40 95.60 111.00 83.60 122.00 111.40 109.20 17 170.00 133.00 145.80 140.20 153.00 143.00 140.40 18 94.80 90.49 90.10 92.47 99.08 91.69 94.67 19 3.74 5.01 3.97 NA NA 3.67 3.68 20 50.60 37.40 34.80 56.60 31.00 31.60 31.20 21 4.63 1.88 15.50 NA NA 7.10 15.70 22 7.28 4.98 6.52 5.39 8.16 8.08 5.73 23 10.99 8.58 8.63 7.96 10.20 10.52 8.35 24 0.76 0.68 0.88 0.81 0.97 0.92 0.78 25 0.90 0.79 1.01 0.88 1.05 1.01 0.90 26 0.41 0.41 0.44 0.44 0.38 0.46 0.47 27 73.13 88.07 48.53 51.33 65.80 55.80 65.60 28 69.88 55.25 48.50 NA NA 69.00 76.40 29 156.29 83.76 119.30 76.68 127.20 113.88 112.25 30 0.055 0.027 0.047 0.048 0.044 0.045 0.046 31 NA 9.74 8.69 8.90 10.13 10.61 9.60 Table 97. Provided are the values of each of the parameters measured in Barley Hordeum spontaneum accessions (21-22, 24-28) according to the correlation identifications (see Table 88).

TABLE 98 Measured parameters of correlation Ids in Barley Hordeum spontaneum accessions Ecotype/ Treatment Line-30 Line-31 Line-32 Line-33 Line-34 Line-36 Line-37 1 16.51 3.19 10.55 26.51 15.15 9.46 4.75 2 26.47 23.14 27.64 29.37 27.74 26.38 19.78 3 47.05 48.92 47.26 48.82 46.56 43.46 27.36 4 60.37 67.39 67.12 61.35 59.03 48.56 31.46 5 29.60 14.28 37.74 39.23 34.46 23.84 11.91 6 0.85 0.85 0.89 1.10 1.09 0.74 1.15 7 2.66 2.57 2.93 3.16 2.99 3.17 2.74 8 0.25 0.24 0.29 0.33 0.29 0.30 0.26 9 1.09 1.06 1.23 1.33 1.27 1.30 1.11 10 0.32 0.32 0.33 0.34 0.32 0.31 0.32 11 18.19 13.50 12.83 14.49 13.72 11.25 16.11 12 NA NA NA NA NA NA NA 13 0.46 0.31 0.37 0.43 0.39 0.24 0.32 14 1.00 1.00 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA NA 16 104.00 89.20 97.80 113.60 109.20 108.40 91.60 17 140.20 140.40 140.40 145.80 143.00 140.40 133.00 18 105.78 112.21 103.83 105.74 107.45 106.34 78.29 19 3.42 2.67 3.64 3.65 3.51 3.17 2.50 20 36.20 51.20 42.60 32.20 33.80 32.00 41.40 21 12.30 1.10 8.50 18.67 11.00 7.40 1.50 22 4.69 5.47 5.92 6.16 6.88 5.17 7.72 23 6.85 8.51 8.32 9.80 9.28 7.81 11.96 24 0.81 0.75 0.83 0.74 0.88 0.79 0.75 25 0.91 0.85 0.96 0.82 0.94 0.91 0.92 26 0.44 0.42 0.41 0.41 0.44 0.47 0.48 27 77.13 85.00 67.53 50.87 55.67 64.67 50.93 28 76.60 35.30 75.30 68.50 66.80 69.30 32.20 29 107.42 116.31 114.38 104.47 105.59 92.02 58.82 30 0.037 0.044 0.047 0.042 0.056 0.056 0.033 31 8.24 9.14 8.71 9.82 10.00 8.36 12.49 Table 98. Provided are the values of each of the parameters measured in Barley Hordeum spontaneum accessions (30-34, 36-37) according to the correlation identifications (see Table 88).

TABLE 99 Measured parameters of correlation Ids in Barley Hordeum spontaneum accessions Ecotype/ Treatment Line-38 Line-41 Line-42 Line-43 Line-44 Line-45 Line-46 1 NA 21.20 14.49 17.05 12.52 9.87 10.75 2 31.00 36.89 24.24 27.81 23.34 31.77 27.36 3 44.56 50.54 44.04 50.12 40.37 55.92 33.55 4 59.31 91.79 63.37 69.41 58.51 61.56 42.29 5 NA 55.88 31.34 32.88 35.99 42.56 19.47 6 1.32 1.40 0.93 0.96 0.82 1.34 1.16 7 2.69 2.67 3.05 2.77 2.94 3.18 3.06 8 0.26 0.28 0.30 0.26 0.29 0.33 0.30 9 1.10 1.09 1.28 1.14 1.25 1.32 1.25 10 0.33 0.36 0.33 0.33 0.32 0.35 0.34 11 21.71 20.75 11.50 17.55 10.65 15.98 14.58 12 NA NA NA NA NA NA NA 13 0.66 0.75 0.31 0.47 0.25 0.53 0.43 14 1.00 1.40 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA NA 16 115.60 116.80 111.00 111.00 111.00 111.00 99.20 17 145.80 144.20 140.20 146.00 140.20 143.00 133.00 18 107.63 126.08 107.15 106.69 96.26 99.81 91.75 19 NA NA 3.44 3.52 3.60 3.75 2.94 20 30.20 27.40 29.25 35.00 29.20 32.00 33.80 21 NA 15.50 10.70 15.00 11.70 6.90 5.50 22 8.37 8.38 5.09 5.03 4.88 8.33 7.43 23 11.32 10.12 8.27 8.45 7.95 10.21 11.52 24 0.86 0.99 0.72 0.65 0.72 0.96 0.76 25 0.94 1.06 0.82 0.76 0.82 1.04 0.91 26 0.43 0.36 0.41 0.42 0.41 0.48 0.44 27 48.40 45.80 73.53 79.33 61.67 49.13 55.10 28 NA 75.13 71.20 86.70 90.70 71.40 58.50 29 110.88 149.88 107.41 119.53 98.88 117.49 75.84 30 0.036 NA 0.057 0.040 0.034 0.048 0.045 31 11.03 10.44 8.66 9.91 8.51 10.18 11.82 Table 99. Provided are the values of each of the parameters measured in Barley Hordeum spontaneum accessions (38, 41-46) according to the correlation identifications (see Table 88).

TABLE 100 Measured parameters of correlation Ids in Barley Hordeum spontaneum accessions Ecotype/ Treatment Line-47 Line-48 Line-49 Line-51 Line-52 Line-53 1 10.80 14.99 16.12 NA 15.51 6.88 2 25.70 24.92 26.31 24.82 26.46 21.49 3 31.74 50.70 44.59 26.20 57.49 47.76 4 41.24 71.38 73.03 52.91 73.30 65.81 5 26.16 39.22 49.89 NA 38.72 29.92 6 1.18 0.94 1.05 1.01 0.84 0.75 7 2.75 2.62 2.99 3.24 2.90 2.65 8 0.26 0.24 0.29 0.32 0.26 0.25 9 1.13 1.06 1.25 1.36 1.17 1.10 10 0.32 0.32 0.33 0.33 0.32 0.31 11 17.44 18.90 14.60 13.07 19.84 17.16 12 NA NA NA NA NA NA 13 0.45 0.47 0.40 0.32 0.50 0.38 14 1.00 1.00 1.00 1.00 1.00 1.00 15 NA NA NA NA NA NA 16 105.80 111.00 117.20 122.60 111.00 107.60 17 133.00 143.00 148.20 152.00 142.40 140.40 18 80.80 105.57 101.87 80.26 105.02 98.42 19 3.29 3.68 3.84 NA 3.66 3.41 20 27.20 32.00 31.00 29.40 31.40 32.80 21 10.30 12.40 13.33 NA 18.30 6.60 22 6.71 6.61 7.10 8.62 7.16 5.75 23 10.17 9.09 9.79 11.73 10.01 8.78 24 0.77 0.94 0.85 0.87 0.86 0.77 25 0.92 0.97 0.95 0.97 0.94 0.89 26 0.46 0.42 0.38 0.33 0.44 0.42 27 56.67 62.20 70.93 45.00 74.58 74.53 28 90.90 87.50 108.50 NA 113.50 95.60 29 72.98 122.08 117.62 79.11 130.79 113.58 30 0.039 0.065 0.046 0.040 0.040 0.045 31 10.58 9.42 10.04 11.67 10.60 9.72 Table 100. Provided are the values of each of the parameters measured in Barley Hordeum spontaneum accessions (47-49, 51-53) according to the correlation identifications (see Table 88).

TABLE 101 Measured parameters of correlation Ids in Barley Hordeum vulgare accessions Ecotype/ Treatment Line-1 Line-2 Line-4 Line-5 Line-6 Line-8 Line-9 1 4.31 18.25 40.15 33.22 NA 16.67 5.64 2 50.11 49.98 52.43 47.22 49.33 61.33 49.97 3 80.88 60.47 69.45 61.03 63.22 91.89 99.05 4 46.33 85.03 127.37 79.51 82.95 82.88 56.80 5 11.34 52.57 126.89 60.56 NA 44.57 9.71 6 3.33 1.56 3.11 3.18 2.85 4.13 3.47 7 2.62 2.41 2.67 2.62 2.59 2.78 2.66 8 0.30 0.28 0.30 0.29 0.29 0.33 0.29 9 1.09 0.97 1.07 1.09 1.07 1.15 1.09 10 0.40 0.41 0.41 0.39 0.39 0.42 0.39 11 56.51 21.05 44.35 47.12 43.51 58.33 56.03 12 64.98 37.47 51.69 49.15 46.44 78.18 79.86 13 2.91 1.02 2.33 2.23 2.14 3.47 2.60 14 4.20 1.00 2.60 2.60 1.00 1.00 5.00 15 0.51 0.25 0.26 0.35 0.32 0.45 0.51 16 90.80 124.40 NA 122.00 NA 111.60 86.80 17 148.00 170.00 170.00 167.40 170.00 156.20 159.60 18 83.97 79.87 122.46 108.03 87.00 104.01 70.78 19 2.45 3.96 4.75 4.12 NA 3.82 2.30 20 57.20 45.60 NA 48.00 NA 44.60 72.80 21 1.00 9.20 19.20 14.63 NA 6.30 1.20 22 9.90 7.82 11.07 10.17 9.98 9.89 9.58 23 9.49 10.26 7.97 8.42 8.12 6.39 7.73 24 1.23 0.87 1.68 1.47 1.51 1.83 1.50 25 1.41 1.05 1.79 1.60 1.61 1.93 1.59 26 0.64 0.42 0.35 0.44 0.43 0.51 0.64 27 45.27 56.27 32.42 35.40 36.73 32.10 48.53 28 24.00 48.70 47.60 45.00 NA 38.50 21.50 29 127.22 145.50 196.82 140.54 146.17 178.63 155.85 30 0.053 0.059 0.051 0.053 0.047 0.052 0.062 31 9.57 NA 7.93 8.13 NA 5.65 7.94 Table 101. Provided are the values of each of the parameters measured in Barley Hordeum vulgare accessions (1-2, 4-6, 8-9) according to the correlation identifications (see Table 88).

TABLE 102 Measured parameters of correlation Ids in Barley Hordeum vulgare accessions Ecotype/ Treatment Line-10 Line-11 Line-12 Line-13 Line-14 Line-15 Line-16 1 5.29 18.34 4.03 8.83 4.82 29.49 5.01 2 51.70 56.46 53.97 50.36 56.81 57.98 51.44 3 66.99 60.22 87.61 71.76 76.71 81.14 77.90 4 64.14 54.23 73.23 49.50 47.63 66.51 77.50 5 38.18 46.74 42.32 11.62 9.33 47.56 30.93 6 3.15 1.88 3.35 3.60 3.24 3.12 1.69 7 2.63 2.28 2.54 2.37 2.71 2.90 2.28 8 0.30 0.28 0.30 0.27 0.32 0.34 0.27 9 1.08 0.88 1.03 0.96 1.12 1.22 0.89 10 0.39 0.45 0.42 0.41 0.41 0.41 0.42 11 59.08 27.27 55.87 61.53 50.80 45.48 24.77 12 54.34 46.37 71.89 56.24 61.63 64.82 56.43 13 2.84 1.51 2.84 2.98 2.85 2.39 1.21 14 3.00 1.00 1.00 2.20 3.00 1.00 1.00 15 0.41 0.40 0.45 0.48 0.50 0.44 0.36 16 106.20 117.80 111.60 85.40 90.00 113.20 113.40 17 157.00 162.20 159.60 157.00 150.50 158.00 170.00 18 98.11 57.88 94.52 73.20 78.65 90.73 64.27 19 3.60 3.83 3.63 2.43 2.26 3.89 3.46 20 50.80 44.40 46.00 71.60 61.50 44.80 56.60 21 2.10 10.00 2.60 1.63 1.00 17.00 3.00 22 11.19 8.76 10.49 10.83 11.23 7.89 9.15 23 8.45 10.55 7.60 7.87 9.42 6.68 12.05 24 1.57 0.96 1.63 1.63 1.43 1.45 0.88 25 1.71 1.17 1.75 1.72 1.58 1.52 1.03 26 0.51 0.53 0.55 0.61 0.62 0.55 0.50 27 29.80 50.80 32.40 26.80 42.42 39.73 71.33 28 36.10 57.25 42.20 19.13 21.63 59.80 62.50 29 131.13 114.45 160.84 121.26 124.34 147.66 155.41 30 0.051 0.062 0.060 0.056 0.045 0.051 0.037 31 8.55 10.59 7.44 7.36 9.60 6.23 NA Table 102. Provided are the values of each of the parameters measured in Barley Hordeum vulgare accessions (10-16) according to the correlation identifications (see Table 88).

TABLE 103 Measured parameters of correlation Ids in Barley Hordeum vulgare accessions Ecotype/ Treatment Line-17 Line-18 Line-19 Line-54 Line-55 1 3.74 11.42 5.13 7.07 6.72 2 58.07 53.45 48.66 43.66 47.91 3 68.17 70.73 54.13 43.70 68.61 4 81.58 67.92 81.05 56.28 NA 5 NA 35.49 38.41 14.62 67.47 6 1.66 3.50 1.16 3.71 2.78 7 2.42 2.65 2.16 2.24 2.56 8 0.30 0.30 0.26 0.25 0.28 9 0.96 1.08 0.83 0.88 1.05 10 0.44 0.40 0.42 0.40 0.38 11 21.15 59.72 17.46 65.39 43.77 12 49.68 54.97 40.33 34.58 53.97 13 1.18 2.93 0.83 2.64 2.06 14 3.80 3.80 1.00 5.00 1.80 15 0.33 0.40 0.29 0.35 NA 16 98.50 109.60 119.40 88.40 128.00 17 170.00 155.20 170.00 157.00 170.00 18 82.73 94.12 63.47 93.79 90.30 19 NA 3.60 3.64 2.18 4.23 20 71.50 45.60 50.60 68.60 42.00 21 1.00 3.80 4.20 2.50 3.10 22 8.57 11.30 7.04 10.74 10.04 23 10.74 8.60 8.94 8.54 8.59 24 0.92 1.56 0.92 1.49 1.45 25 1.10 1.72 1.08 1.68 1.57 26 0.45 0.51 0.39 0.44 NA 27 65.40 33.27 82.47 20.80 38.00 28 31.20 34.00 78.90 15.60 43.20 29 149.76 138.64 135.18 99.98 NA 30 0.047 0.043 0.056 0.053 0.054 31 NA 8.57 NA 8.26 9.22 Table 103. Provided are the values of each of the parameters measured in Barley Hordeum vulgare accessions (17-19, 54-55) according to the correlation identifications (see Table 88).

TABLE 104 Correlation between the expression level of the selected polynucleotides of the invention and their homologues in specific tissues or developmental stages and the phenotypic performance across all 55 Barley accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1015 0.71 9.98E−04 2 12 LYM1015 0.83 4.34E−05 2 15 LYM1016 0.71 9.48E−04 3 12 LYM1023 0.77 2.88E−04 3 15 LYM1026 0.71 1.08E−08 3 2 LYM1026 0.74 1.61E−09 3 13 LYM1026 0.72 6.15E−09 3 6 LYM1026 0.72 6.13E−09 2 2 LYM1026 0.74 1.45E−09 2 10 LYM1027 0.82 2.64E−05 2 12 LYM1027 0.89 1.52E−06 2 15 LYM1031 0.78 4.17E−11 2 13 LYM1031 0.71 1.27E−03 2 15 LYM1031 0.76 2.16E−10 2 3 LYM1031 0.73 5.43E−09 2 26 LYM1031 0.76 3.24E−10 2 6 LYM1031 0.74 1.54E−09 2 11 LYM1034 0.70 1.15E−03 3 12 LYM1034 0.75 5.68E−04 3 15 LYM1034 0.80 1.31E−04 1 15 LYM1034 0.76 8.23E−11 1 26 LYM1037 0.74 7.64E−04 2 15 LYM1040 0.76 3.92E−04 3 15 LYM1041 0.71 9.67E−04 3 12 LYM1042 0.74 1.75E−09 3 2 LYM1042 0.74 9.90E−10 3 3 LYM1042 0.77 7.63E−11 2 2 LYM1042 0.76 2.06E−10 2 10 LYM1048 0.70 1.94E−08 3 2 LYM1048 0.74 1.37E−09 3 13 LYM1048 0.72 4.07E−09 3 3 LYM1048 0.73 2.10E−09 3 6 LYM1048 0.73 1.18E−09 1 24 LYM1048 0.72 1.23E−09 1 2 LYM1048 0.75 1.12E−10 1 13 LYM1048 0.76 7.08E−11 1 6 LYM1048 0.74 3.47E−10 1 25 LYM1048 0.73 1.13E−09 1 11 LYM1048 0.75 5.33E−10 2 2 LYM1048 0.75 5.04E−10 2 13 LYM1048 0.73 1.84E−09 2 3 LYM1048 0.74 1.05E−09 2 6 LYM1048 0.72 4.11E−09 2 10 LYM1048 0.72 2.45E−09 4 2 LYM1048 0.75 2.50E−10 4 13 LYM1048 0.72 2.53E−09 4 3 LYM1048 0.73 1.23E−09 4 26 LYM1048 0.72 1.85E−09 4 6 LYM1051 0.71 8.06E−09 3 3 LYM1053 0.70 1.74E−03 3 15 LYM1053 0.73 3.50E−09 3 26 LYM1054 0.77 3.41E−04 2 15 LYM1054 0.73 3.53E−09 2 26 LYM1056 0.72 1.61E−09 1 24 LYM1056 0.72 2.60E−09 1 6 LYM1056 0.72 1.93E−09 1 25 LYM1056 0.71 4.18E−09 1 11 LYM1056 0.71 9.36E−09 2 13 LYM1056 0.73 3.24E−09 2 6 LYM1056 0.71 1.10E−08 2 11 LYM1060 0.70 1.66E−03 3 15 LYM1062 0.71 1.45E−03 1 15 LYM1066 0.71 1.30E−08 3 2 LYM1066 0.71 1.01E−08 3 13 LYM1066 0.73 6.30E−10 1 24 LYM1066 0.80 1.00E−12 1 2 LYM1066 0.80 8.16E−13 1 13 LYM1066 0.78 7.36E−12 1 6 LYM1066 0.76 5.19E−11 1 10 LYM1066 0.76 8.58E−11 1 25 LYM1066 0.75 2.27E−10 1 11 LYM1066 0.75 8.34E−10 2 2 LYM1066 0.77 1.47E−10 2 13 LYM1066 0.74 1.63E−09 2 6 LYM1066 0.74 1.23E−09 2 10 LYM1066 0.72 4.02E−09 2 11 LYM1066 0.78 1.72E−11 4 2 LYM1066 0.79 7.32E−12 4 10 LYM1069 0.73 8.31E−04 2 15 LYM1070 0.70 1.70E−03 1 15 LYM1070 0.71 1.54E−03 2 15 LYM1076 0.79 1.49E−04 4 15 Table 104. Provided are the correlations (R) and p-values (P) between the expression levels of selected genes of some embodiments of the invention in various tissues or developmental stages (Expression sets) and the phenotypic performance in various yield (seed yield, oil yield, oil content), biomass, growth rate and/or vigor components [Correlation (Corr.) vector (Vec.) Expression (Exp.)] Corr. Vector = correlation vector specified in Table b; Exp. Set = expression set specified in Table 87.

TABLE 105 Correlation between the expression level of the selected polynucleotides of the invention and their homologues in specific tissues or developmental stages and the phenotypic performance across 27 Barley Hordeum spontaneum accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1010 0.76 2.54E−05 2 13 LYM1018 0.80 2.95E−06 3 13 LYM1018 0.72 8.37E−05 3 11 LYM1052 0.75 3.28E−05 2 26 LYM1057 0.75 1.02E−05 1 8 LYM1059 0.71 1.47E−04 2 16 LYM1059 0.74 4.89E−05 2 17 LYM1061 0.87 1.66E−06 2 5 LYM1073 0.72 1.22E−04 2 24 Table 105. Provided are the correlations (R) and p-values (P) between the expression levels of selected genes of some embodiments of the invention in various tissues or developmental stages (Expression sets) and the phenotypic performance in various yield (seed yield, oil yield, oil content), biomass, growth rate and/or vigor components [Correlation (Corr.) vector (Vec.) Expression (Exp.)] Corr. Vector = correlation vector specified in Table b; Exp. Set = expression set specified in Table 87.

TABLE 106 Correlation between the expression level of the selected polynucleotides of the invention and their homologues in specific tissues or developmental stages and the phenotypic performance across 19 Barley Hordeum vulgare accessions Gene Exp. Corr. Gene Exp. Corr. Name R P value set Set ID Name R P value set Set ID LYM1015 0.71 9.98E−04 2 12 LYM1015 0.83 4.34E−05 2 15 LYM1015 0.80 1.16E−04 2 26 LYM1016 0.71 9.48E−04 3 12 LYM1022 0.76 2.33E−04 1 2 LYM1023 0.77 2.88E−04 3 15 LYM1023 0.79 1.45E−04 3 26 LYM1023 0.77 3.31E−04 1 26 LYM1024 0.73 1.25E−03 1 20 LYM1025 0.79 1.47E−04 1 4 LYM1027 0.80 7.37E−05 2 13 LYM1027 0.82 2.64E−05 2 12 LYM1027 0.89 1.52E−06 2 15 LYM1027 0.74 4.23E−04 2 3 LYM1027 0.82 5.61E−05 2 26 LYM1027 0.73 6.33E−04 2 6 LYM1027 0.71 1.07E−03 2 11 LYM1030 0.73 8.34E−04 1 26 LYM1031 0.71 1.27E−03 2 15 LYM1031 0.77 3.24E−04 2 26 LYM1033 0.77 2.69E−04 2 26 LYM1034 0.70 1.15E−03 3 12 LYM1034 0.75 5.68E−04 3 15 LYM1034 0.72 1.03E−03 3 26 LYM1034 0.80 1.31E−04 1 15 LYM1034 0.78 1.90E−04 1 26 LYM1035 0.70 7.39E−03 4 31 LYM1037 0.74 7.64E−04 2 15 LYM1037 0.80 1.22E−04 2 26 LYM1038 0.71 1.39E−03 2 26 LYM1040 0.76 3.92E−04 3 15 LYM1040 0.76 4.04E−04 3 26 LYM1041 0.71 9.67E−04 3 12 LYM1041 0.74 4.67E−04 3 3 LYM1041 0.72 1.19E−03 3 26 LYM1043 0.74 7.53E−04 4 26 LYM1044 0.70 1.63E−03 2 26 LYM1046 0.70 2.50E−03 2 20 LYM1048 0.74 7.03E−04 4 26 LYM1048 0.74 6.03E−04 2 26 LYM1052 0.74 3.94E−04 3 24 LYM1052 0.84 1.38E−05 3 22 LYM1052 0.83 1.73E−05 3 13 LYM1052 0.80 7.25E−05 3 6 LYM1052 0.76 2.73E−04 3 25 LYM1052 0.79 8.36E−05 3 11 LYM1052 0.73 6.32E−04 4 22 LYM1052 0.70 1.22E−03 2 22 LYM1053 0.70 1.74E−03 3 15 LYM1053 0.77 3.23E−04 3 26 LYM1054 0.74 4.34E−04 2 9 LYM1054 0.77 3.41E−04 2 15 LYM1054 0.71 8.61E−04 2 7 LYM1054 0.75 5.84E−04 2 26 LYM1055 0.75 5.19E−04 2 26 LYM1056 0.84 1.53E−05 3 24 LYM1056 0.82 3.16E−05 3 13 LYM1056 0.84 1.27E−05 3 6 LYM1056 0.84 1.25E−05 3 25 LYM1056 0.77 2.08E−04 3 11 LYM1056 0.85 7.66E−06 1 24 LYM1056 0.71 9.05E−04 1 22 LYM1056 0.85 7.13E−06 1 13 LYM1056 0.86 4.42E−06 1 6 LYM1056 0.86 4.21E−06 1 25 LYM1056 0.89 1.02E−06 1 11 LYM1056 0.86 4.81E−06 2 13 LYM1056 0.83 2.31E−05 2 6 LYM1056 0.70 1.17E−03 2 25 LYM1056 0.85 7.76E−06 2 11 LYM1058 0.72 1.18E−03 2 26 LYM1059 0.76 4.14E−04 4 28 LYM1060 0.70 1.66E−03 3 15 LYM1060 0.75 5.28E−04 3 26 LYM1061 0.70 1.75E−03 4 26 LYM1062 0.73 6.58E−04 1 13 LYM1062 0.71 1.45E−03 1 15 LYM1062 0.76 2.44E−04 1 6 LYM1062 0.73 5.21E−04 1 11 LYM1063 0.77 1.99E−04 3 14 LYM1063 0.74 6.54E−04 2 26 LYM1064 0.71 1.04E−03 3 14 LYM1064 0.71 9.49E−04 2 24 LYM1064 0.72 8.21E−04 2 25 LYM1065 0.71 9.04E−04 3 2 LYM1065 0.79 9.97E−05 1 27 LYM1066 0.75 4.82E−04 2 26 LYM1068 0.75 3.48E−04 4 2 LYM1069 0.71 1.48E−03 4 26 LYM1069 0.73 8.31E−04 2 15 LYM1069 0.81 6.87E−05 2 26 LYM1070 0.70 1.70E−03 1 15 LYM1070 0.77 2.65E−04 1 26 LYM1070 0.75 5.84E−04 4 26 LYM1070 0.71 1.54E−03 2 15 LYM1073 0.74 9.89E−04 1 5 LYM1076 0.70 1.15E−03 1 2 LYM1076 0.79 1.49E−04 4 15 LYM1076 0.82 4.74E−05 4 26 LYM1234 0.74 7.27E−04 4 26 Table 106. Provided are the correlations (R) and p-values (P) between the expression levels of selected genes of some embodiments of the invention in various tissues or developmental stages (Expression sets) and the phenotypic performance in various yield (seed yield, oil yield, oil content), biomass, growth rate and/or vigor components [Correlation (Corr.) vector (Vec.) Expression (Exp.)] Corr. Vector = correlation vector specified in Table b; Exp. Set = expression set specified in Table 87.

Example 15 Gene Cloning and Generation of Binary Vectors for Plant Expression

To validate their role in improving yield, selected genes were over-expressed in plants, as follows.

Cloning Strategy

Selected genes from those presented in Examples 1-14 hereinabove were cloned into binary vectors for the generation of transgenic plants. For cloning, the full-length open reading frames (ORFs) were identified. EST clusters and in some cases mRNA sequences were analyzed to identify the entire open reading frame by comparing the results of several translation algorithms to known proteins from other plant species.

In order to clone the full-length cDNAs, reverse transcription (RT) followed by polymerase chain reaction (PCR; RT-PCR) was performed on total RNA extracted from leaves, roots or other plant tissues, growing under normal/limiting or stress conditions. Total RNA extraction, production of cDNA and PCR amplification was performed using standard protocols described elsewhere (Sambrook J., E. F. Fritsch, and T. Maniatis. 1989. Molecular Cloning. A Laboratory Manual, 2nd Ed. Cold Spring Harbor Laboratory Press, New York) which are well known to those skilled in the art. PCR products were purified using PCR purification kit (Qiagen).

Usually, 2 sets of primers were prepared for the amplification of each gene, via nested PCR (if required). Both sets of primers were used for amplification on a cDNA. In case no product was obtained, a nested PCR reaction was performed. Nested PCR was performed by amplification of the gene using external primers and then using the produced PCR product as a template for a second PCR reaction, where the internal set of primers were used. Alternatively, one or two of the internal primers were used for gene amplification, both in the first and the second PCR reactions (meaning only 2-3 primers are designed for a gene). To facilitate further cloning of the cDNAs, an 8-12 base pairs (bp) extension was added to the 5′ of each internal primer. The primer extension includes an endonuclease restriction site. The restriction sites were selected using two parameters: (a) the restriction site does not exist in the cDNA sequence; and (b) the restriction sites in the forward and reverse primers were designed such that the digested cDNA was inserted in the sense direction into the binary vector utilized for transformation.

PCR products were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers. Each digested/undigested PCR product was inserted into a high copy vector pUC19 (New England BioLabs Inc], or into plasmids originating from this vector. In some cases the undigested PCR product was inserted into pCR-Blunt II-TOPO (Invitrogen) or into pJET1.2 (CloneJET PCR Cloning Kit, Thermo Scientific) or directly into the binary vector. The digested/undigested products and the linearized plasmid vector were ligated using T4 DNA ligase enzyme (Roche, Switzerland or other manufacturers). In cases where pCR-Blunt II-TOPO is used no T4 ligase is needed.

Sequencing of the inserted genes was performed, using the ABI 377 sequencer (Applied Biosystems). In some cases, after confirming the sequences of the cloned genes, the cloned cDNA was introduced into a modified pGI binary vector containing the At6669 promoter (e.g., pQFNc) and the NOS terminator (SEQ ID NO: 8201) via digestion with appropriate restriction endonucleases.

In case of Brachypodium transformation, after confirming the sequences of the cloned genes, the cloned cDNAs were introduced into pEBbVNi (FIG. 9A) containing 35S promoter (SEQ ID NO: 8202) and the NOS terminator (SEQ ID NO:8201) via digestion with appropriate restriction endonucleases. The genes were cloned downstream to the 35S promoter and upstream to the NOS terminator.

Several DNA sequences of the selected genes were synthesized by GeneArt (Life Technologies, Grand Island, N.Y., USA). Synthetic DNA was designed in silico. Suitable restriction enzymes sites were added to the cloned sequences at the 5′ end and at the 3′ end to enable later cloning into the desired binary vector.

Binary vectors—The pPI plasmid vector was constructed by inserting a synthetic poly-(A) signal sequence, originating from pGL3 basic plasmid vector (Promega, GenBank Accession No. U47295; nucleotides 4658-4811) into the HindlIl restriction site of the binary vector pBI101.3 (Clontech, GenBank Accession No. U12640). pGI is similar to pPI, but the original gene in the backbone is GUS-Intron and not GUS.

The modified pGI vector (e.g., pQFN, pQFNc, pQYN_6669, pQNa_RP, pQFYN or pQXNc) is a modified version of the pGI vector in which the cassette is inverted between the left and right borders so the gene and its corresponding promoter are close to the right border and the NPTII gene is close to the left border.

At6669, the new Arabidopsis thaliana promoter sequence (SEQ ID NO:8190) was inserted in the modified pGI binary vector, upstream to the cloned genes, followed by DNA ligation and binary plasmid extraction from positive E. coli colonies, as described above. Colonies were analyzed by PCR using the primers covering the insert which were designed to span the introduced promoter and gene. Positive plasmids were identified, isolated and sequenced.

pEBbVNi (FIG. 9A) is a modified version of pJJ2LB in which the Hygromycin resistance gene was replaced with the BAR gene which confers resistance to the BASTA herbicide [BAR gene coding sequence is provided in GenBank Accession No. JQ293091.1 (SEQ ID NO:8203); further description is provided in Akama K, et al. “Efficient Agrobacterium-mediated transformation of Arabidopsis thaliana using the bar gene as selectable marker”, Plant Cell Rep. 1995, 14(7):450-4; Christiansen P, et al. “A rapid and efficient transformation protocol for the grass Brachypodium distachyon”, Plant Cell Rep. 2005 March; 23(10-11):751-8. Epub 2004 Oct. 19; and P{hacek over (a)}curar D I, et al. “A high-throughput Agrobacterium-mediated transformation system for the grass model species Brachypodium distachyon L”, Transgenic Res. 2008 17(5):965-75; each of which is fully incorporated herein by reference in its entirety]. The pEBbVNi construct contains the 35S promoter (SEQ ID NO:8202). pJJ2LB is a modified version of pCambia0305.2 (Cambia).

In case genomic DNA was cloned, the genes were amplified by direct PCR on genomic DNA extracted from leaf tissue using the DNAeasy kit (Qiagen Cat. No. 69104).

Selected genes cloned by the present inventors are provided in Table 107 below.

TABLE 107 Cloning Table Gene High copy Primers used SEQ ID Polynucleotide Polypeptide Name plasmid Organism NOs: SEQ ID NO: SEQ ID NO: LYM1010 LYM1010_GA 269 474 LYM1011 LYM1011_GA 270 475 LYM1012 LYM1012_GA 271 476 LYM1013 LYM1013 BARLEY Hordeum vulgare L. 8204, 8352, 8500, 8576 272 715 LYM1014 LYM1014_GA 273 478 LYM1015 LYM1015 BARLEY Hordeum vulgare L. 8205, 8353, 8205, 8353 274 479 LYM1016 LYM1016 BARLEY Hordeum vulgare L. 8206, 8354, 8501, 8577 275 480 LYM1017 LYM1017_GA 276 481 LYM1018 LYM1018 BARLEY Hordeum vulgare L. 8207, 8355, 8207, 8355 277 716 LYM1019 LYM1019 BARLEY Hordeum vulgare L. 8208, 8356, 8208, 8356 278 483 LYM1020 LYM1020 BARLEY Hordeum vulgare L. 8209, 8357, 8502, 8578 279 717 LYM1021 LYM1021 BARLEY Hordeum vulgare L. 8210, 8358, 8210, 8358 280 485 LYM1022 LYM1022 BARLEY Hordeum vulgare L. 8211, 8359, 8211, 8359 281 718 LYM1023 LYM1023 BARLEY Hordeum vulgare L. 8212, 8360, 8212, 8360 282 719 LYM1024 LYM1024 BARLEY Hordeum vulgare L. 8213, 8361, 8213, 8361 283 488 LYM1025 LYM1025 BARLEY Hordeum vulgare L. 8214, 8362, 8503, 8579 284 489 LYM1026 LYM1026 BARLEY Hordeum vulgare L. 8215, 8363, 8504, 8580 285 490 LYM1027 LYM1027 BARLEY Hordeum vulgare L. 8216, 8364, 8216, 8364 286 491 LYM1028 LYM1028_GA 287 492 LYM1029 LYM1029 BARLEY Hordeum vulgare L. 8217, 8365, 8505, 8581 288 493 LYM1030 LYM1030 BARLEY Hordeum vulgare L. 8218, 8366, 8218, 8366 289 720 LYM1033 LYM1033 BARLEY Hordeum vulgare L. 8220, 8368, 8220, 8368 290 497 LYM1034 LYM1034 BARLEY Hordeum vulgare L. 8221, 8369, 8506, 8582 291 721 LYM1035 LYM1035_GA 292 499 LYM1036 LYM1036_GA 293 500 LYM1037 LYM1037_GA 294 501 LYM1038 LYM1038 BARLEY Hordeum vulgare L. 8222, 8370, 8507, 8583 295 502 LYM1040 LYM1040 BARLEY Hordeum vulgare L. 8223, 8371, 8508, 8584 296 503 LYM1041 LYM1041_GA 297 504 LYM1042 LYM1042_GA 298 505 LYM1043 LYM1043 BARLEY Hordeum vulgare L. 8224, 8372, 8224, 8372 299 506 LYM1044 LYM1044_GA 300 507 LYM1046 LYM1046 BARLEY Hordeum vulgare L. 8225, 8373, 8509, 8585 301 508 LYM1047 LYM1047 BARLEY Hordeum vulgare L. 8226, 8374, 8226, 8374 302 509 LYM1049 LYM1049 BARLEY Hordeum vulgare L. 8227, 8375, 8227, 8375 303 511 LYM1051 LYM1051 BARLEY Hordeum vulgare L. 8228, 8376, 8510, 8586 304 722 LYM1052 LYM1052 BARLEY Hordeum vulgare L. 8229, 8377, 8229, 8377 305 723 LYM1053 LYM1053 BARLEY Hordeum vulgare L. 8230, 8378, 8511, 8587 306 724 LYM1054 LYM1054 BARLEY Hordeum vulgare L. 8231, 8379, 8512, 8588 307 515 LYM1055 LYM1055_GA 308 516 LYM1056 LYM1056 BARLEY Hordeum vulgare L. 8232, 8380, 8232, 8380 309 517 LYM1057 LYM1057 BARLEY Hordeum vulgare L. 8233, 8381, 8233, 8381 310 518 LYM1060 LYM1060 BARLEY Hordeum vulgare L. 8234, 8382, 8513, 8589 311 521 LYM1061 LYM1061 BARLEY Hordeum vulgare L. 8235, 8383, 8514, 8590 312 522 LYM1062 LYM1062 BARLEY Hordeum vulgare L. 8236, 8384, 8236, 8384 313 523 LYM1063 LYM1063_GA 314 524 LYM1065 LYM1065 BARLEY Hordeum vulgare L. 8237, 8385, 8515, 8591 315 526 LYM1066 LYM1066 BARLEY Hordeum vulgare L. 8238, 8386, 8516, 8592 316 527 LYM1068 LYM1068_GA 317 528 LYM1069 LYM1069_GA 318 529 LYM1070 LYM1070 BARLEY Hordeum vulgare L. 8239, 8387, 8239, 8387 319 725 LYM1071 LYM1071 BARLEY Hordeum vulgare L. 8240, 8388, 8240, 8388 320 726 LYM1072 LYM1072 BARLEY Hordeum vulgare L. 8241, 8389, 8241, 8389 321 532 LYM1073 LYM1073 BARLEY Hordeum vulgare L. 322 533 LYM1074 LYM1074 BARLEY Hordeum vulgare L. 8243, 8391, 8243, 8391 323 534 LYM1075 LYM1075 BARLEY Hordeum vulgare L. 8244, 8392, 8517, 8593 324 727 LYM1078 LYM1078 BRACHYPODIUM 8246, 8394, 8246, 8394 325 728 Brachypodiums dis LYM1079 LYM1079 BRACHYPODIUM 8247, 8395, 8519, 8595 326 538 Brachypodiums dis LYM1082 LYM1082 BRACHYPODIUM 8248, 8396, 8248, 8396 327 539 Brachypodiums dis LYM1084 LYM1084 BRACHYPODIUM 8249, 8397, 8520, 8596 328 540 Brachypodiums dis LYM1085 LYM1085 BRACHYPODIUM 8250, 8398, 8521, 8597 329 729 Brachypodiums dis LYM1086 LYM1086 BRACHYPODIUM 8251, 8399, 8522, 8598 330 730 Brachypodiums dis LYM1087 LYM1087 BRACHYPODIUM 8252, 8400, 8252, 8400 331 543 Brachypodiums dis LYM1088 LYM1088_GA 332 544 LYM1089 LYM1089_GA 333 545 LYM1090 LYM1090 BRACHYPODIUM 8253, 8401, 8523, 8599 334 731 Brachypodiums dis LYM1092 LYM1092 BRACHYPODIUM 8254, 8402, 8254, 8600 335 548 Brachypodiums dis LYM1093 LYM1093 BRACHYPODIUM 8255, 8403, 8524, 8601 336 549 Brachypodiums dis LYM1094 LYM1094 BRACHYPODIUM 8256, 8404, 8525, 8602 337 732 Brachypodiums dis LYM1095 LYM1095_GA 338 551 LYM1096 LYM1096_GA 339 552 LYM1097 LYM1097_GA 340 553 LYM1099 LYM1099 BRACHYPODIUM 8257, 8405, 8526, 8603 341 555 Brachypodiums dis LYM1100 LYM1100 FOXTAIL Setaria italica 8258, 8406, 8527, 8604 342 556 LYM1102 LYM1102 FOXTAIL Setaria italica 8259, 8407, 8528, 8605 343 558 LYM1103 LYM1103 FOXTAIL Setaria italica 8260, 8408, 8260, 8408 344 559 LYM1104 LYM1104_GA 345 560 LYM1106 LYM1106_GA 346 562 LYM1107 LYM1107 FOXTAIL Setaria italica 8261, 8409, 8261, 8409 347 563 LYM1108 LYM1108 FOXTAIL Setaria italica 8262, 8410, 8529, 8606 348 564 LYM1109 LYM1109 FOXTAIL Setaria italica 349 565 LYM1110 LYM1110 FOXTAIL Setaria italica 350 566 LYM1111 LYM1111 FOXTAIL Setaria italica 8265, 8413, 8265, 8413 351 733 LYM1112 LYM1112_GA 352 568 LYM1113 LYM1113 FOXTAIL Setaria italica 8266, 8414, 8530, 8607 353 569 LYM1114 LYM1114 FOXTAIL Setaria italica 8267, 8415, 8267, 8415 354 570 LYM1115 LYM1115 FOXTAIL Setaria italica 8268, 8416, 8268, 8608 355 571 LYM1116 LYM1116 FOXTAIL Setaria italica 8269, 8417, 8531, 8609 356 572 LYM1117 LYM1117 FOXTAIL Setaria italica 8270, 8418, 8532, 8610 357 573 LYM1118 LYM1118 FOXTAIL Setaria italica 8271, 8419, 8271, 8419 358 574 LYM1120 LYM1120_GA 359 576 LYM1121 LYM1121 FOXTAIL Setaria italica 8272, 8420, 8533, 8611 360 577 LYM1122 LYM1122 FOXTAIL Setaria italica 8273, 8421, 8534, 8612 361 578 LYM1123 LYM1123 FOXTAIL Setaria italica 8274, 8422, 8535, 8613 362 734 LYM1124 LYM1124 FOXTAIL Setaria italica 8275, 8423, 8536, 8614 363 580 LYM1125 LYM1125 FOXTAIL Setaria italica 8276, 8424, 8276, 8424 364 735 LYM1126 LYM1126 FOXTAIL Setaria italica 8277, 8425, 8277, 8425 365 582 LYM1127 LYM1127 FOXTAIL Setaria italica 8278, 8426, 8537, 8615 366 736 LYM1128 LYM1128_GA 367 584 LYM1129 LYM1129 MAIZE Zea mays L. 8279, 8427, 8279, 8427 368 585 LYM1130 LYM1130 MAIZE Zea mays L. 8280, 8428, 8538, 8616 369 737 LYM1131 LYM1131 MAIZE Zea mays L. 8281, 8429, 8539, 8617 370 738 LYM1132 LYM1132_GA 371 588 LYM1133 LYM1133_GA 372 589 LYM1134 LYM1134_GA 373 590 LYM1136 LYM1136_GA 374 591 LYM1137 LYM1137 MAIZE Zea mays L. 8282, 8430, 8282, 8430 375 592 LYM1138 LYM1138 MAIZE Zea mays L. 8283, 8431, 8540, 8618 376 593 LYM1139 LYM1139 MAIZE Zea mays L. 377 594 LYM1140 LYM1140_GA 378 595 LYM1141 LYM1141 MAIZE Zea mays L. 8285, 8433, 8541, 8619 379 596 LYM1142 LYM1142 MAIZE Zea mays L. 8286, 8434, 8286, 8434 380 739 LYM1143 LYM1143 MAIZE Zea mays L. 8287, 8435, 8287, 8435 381 740 LYM1146 LYM1146 MAIZE Zea mays L. 8288, 8436, 8542, 8620 382 599 LYM1149 LYM1149 MAIZE Zea mays L. 8289, 8437, 8543, 8621 383 600 LYM1151 LYM1151 MAIZE Zea mays L. 8290, 8438, 8290, 8438 384 601 LYM1152 LYM1152_GA 385 602 LYM1153 LYM1153_GA 386 603 LYM1154 LYM1154 MAIZE Zea mays L. 8291, 8439, 8544, 8622 387 604 LYM1155 LYM1155 MAIZE Zea mays L. 8292, 8440, 8292, 8440 388 605 LYM1156 LYM1156 MAIZE Zea mays L. 8293, 8441, 8545, 8623 389 606 LYM1157 LYM1157_GA 390 607 LYM1158 LYM1158 MAIZE Zea mays L. 8294, 8442, 8546, 8624 391 741 LYM1159 LYM1159 MAIZE Zea mays L. 8295, 8443, 8547, 8625 392 609 LYM1160 LYM1160 MAIZE Zea mays L. 8296, 8444, 8296, 8444 393 610 LYM1161 LYM1161 MAIZE Zea mays L. 8297, 8445, 8548, 8626 394 611 LYM1163 LYM1163_GA 395 613 LYM1165 LYM1165 MAIZE Zea mays L. 8299, 8447, 8299, 8447 396 615 LYM1167 LYM1167 MAIZE Zea mays L. 8300, 8448, 8549, 8627 397 742 LYM1168 LYM1168 MAIZE Zea mays L. 8301, 8449, 8301, 8449 398 743 LYM1169 LYM1169 MAIZE Zea mays L. 8302, 8450, 8550, 8628 399 618 LYM1170 LYM1170 MAIZE Zea mays L. 8303, 8451, 8551, 8629 400 619 LYM1171 LYM1171 MAIZE Zea mays L. 8304, 8452, 8552, 8630 401 744 LYM1172 LYM1172_GA 402 621 LYM1173 LYM1173 MAIZE Zea mays L. 8305, 8453, 8305, 8453 403 745 LYM1174 LYM1174 MAIZE Zea mays L. 8306, 8454, 8306, 8454 404 623 LYM1175 LYM1175_GA 405 624 LYM1176 LYM1176 MAIZE Zea mays L. 8307, 8455, 8307, 8455 406 746 LYM1177 LYM1177 MAIZE Zea mays L. 8308, 8456, 8308, 8456 407 747 LYM1178 LYM1178 MAIZE Zea mays L. 8309, 8457, 8309, 8457 408 627 LYM1179 LYM1179 MAIZE Zea mays L. 8310, 8458, 8553, 8631 409 628 LYM1180 LYM1180 MAIZE Zea mays L. 8311, 8459, 8311, 8459 410 629 LYM1181 LYM1181 MAIZE Zea mays L. 8312, 8460, 8554, 8632 411 630 LYM1182 LYM1182_GA 412 631 LYM1183 LYM1183 MAIZE Zea mays L. 8313, 8461, 8313, 8461 413 632 LYM1184 LYM1184 MAIZE Zea mays L. 8314, 8462, 8555, 8633 414 748 LYM1185 LYM1185 MAIZE Zea mays L. 8315, 8463, 8556, 8634 415 749 LYM1186 LYM1186 MAIZE Zea mays L. 8316, 8464, 8557, 8635 416 750 LYM1187 LYM1187 MAIZE Zea mays L. 8317, 8465, 8317, 8465 417 751 LYM1188 LYM1188 RICE Oryza sativa L. 8318, 8466, 8558, 8636 418 637 LYM1189 LYM1189_GA 419 638 LYM1190 LYM1190 RICE Oryza sativa L. 8319, 8467, 8319, 8467 420 639 LYM1191 LYM1191 RICE Oryza sativa L. 8320, 8468, 8559, 8637 421 640 LYM1192 LYM1192 RICE Oryza sativa L. 8321, 8469, 8321, 8469 422 641 LYM1193 LYM1193_GA 423 642 LYM1194 LYM1194_GA 424 643 LYM1195 LYM1195 SORGHUM Sorghum bicolor 8322, 8470, 8322, 8470 425 644 LYM1201 LYM1201_GA 426 645 LYM1202 LYM1202_GA 427 646 LYM1203 LYM1203 SORGHUM Sorghum bicolor 8324, 8472, 8324, 8472 428 752 LYM1204 LYM1204 SORGHUM Sorghum bicolor 8325, 8473, 8560, 8638 429 753 LYM1205 LYM1205 SORGHUM Sorghum bicolor 8326, 8474, 8561, 8639 430 754 LYM1206 LYM1206 SORGHUM Sorghum bicolor 8327, 8475, 8562, 8640 431 650 LYM1207 LYM1207 SORGHUM Sorghum bicolor 8328, 8476, 8328, 8476 432 651 LYM1208 LYM1208 SORGHUM Sorghum bicolor 8329, 8477, 8563, 8641 433 652 LYM1209 LYM1209 SORGHUM Sorghum bicolor 8330, 8478, 8564, 8642 434 653 LYM1210 LYM1210 SORGHUM Sorghum bicolor 8331, 8479, 8331, 8479 435 654 LYM1211 LYM1211 SORGHUM Sorghum bicolor 8332, 8480, 8565, 8643 436 655 LYM1212 LYM1212 SORGHUM Sorghum bicolor 8333, 8481, 8566, 8644 437 656 LYM1213 LYM1213 SORGHUM Sorghum bicolor 8334, 8482, 8567, 8645 438 657 LYM1214 LYM1214 SORGHUM Sorghum bicolor 8335, 8483, 8335, 8483 439 658 LYM1215 LYM1215_GA 440 659 LYM1216 LYM1216 SOYBEAN Glycine max 8336, 8484, 8568, 8646 441 660 LYM1217 LYM1217 SOYBEAN Glycine max 8337, 8485, 8337, 8485 442 661 LYM1218 LYM1218_GA 443 662 LYM1219 LYM1219 SOYBEAN Glycine max 8338, 8486, 8338, 8486 444 663 LYM1220 LYM1220 SOYBEAN Glycine max 8339, 8487, 8339, 8487 445 664 LYM1221 LYM1221 SOYBEAN Glycine max 446 665 LYM1223 LYM1223 SOYBEAN Glycine max 8341, 8489, 8569, 8647 447 667 LYM1224 LYM1224 SOYBEAN Glycine max 8342, 8490, 8570, 8648 448 668 LYM1225 LYM1225 SOYBEAN Glycine max 8343, 8491, 8571, 8649 449 669 LYM1226 LYM1226 SOYBEAN Glycine max 8344, 8492, 8572, 8650 450 670 LYM1227 LYM1227_GA 451 671 LYM1228 LYM1228_GA 452 672 LYM1229 LYM1229_GA 453 673 LYM1230 LYM1230 TOMATO Lycopersicum 8345, 8493, 8573, 8651 454 674 esculentum LYM1231 LYM1231 TOMATO Lycopersicum 8346, 8494, 8346, 8494 455 755 esculentum LYM1232 LYM1232 TOMATO Lycopersicum 8347, 8495, 8347, 8495 456 676 esculentum LYM1233 LYM1233 TOMATO Lycopersicum 8348, 8496, 8348, 8496 457 677 esculentum LYM1234 LYM1234_GA 458 678 LYM1235 LYM1235_GA 459 679 LYM1236 LYM1236 BRACHYPODIUM 8349, 8497, 8574, 8652 460 756 Brachypodiums dis LYM1237 LYM1237 BRACHYPODIUM 8350, 8498, 8575, 8653 461 757 Brachypodiums dis LYM1239 LYM1239_GA 462 682 LYM1240 LYM1240 TOMATO Lycopersicum 8351, 8499, 8351, 8499 463 758 esculentum LYM1032_ LYM1032_H1 WHEAT Triticum aestivum L. 8219, 8367, 8219, 8367 464 759 H1 LYM1058_ LYM1058_H4_ 465 685 H4 GA LYM1059_ LYM1059_H7_ 466 686 H7 GA LYM1064_ LYM1064_H5_ 467 687 H5 GA LYM1076_ LYM1076_H4 RICE Oryza sativa L. 8245, 8393, 8518, 8594 468 688 H4 LYM1091_ LYM1091_H5_ 469 689 H5 GA LYM1101_ LYM1101_H3_ 470 690 H3 GA LYM1105_ LYM1105_H2_ 471 691 H2 GA LYM1164_ LYM1164_H1 SORGHUM Sorghum bicolor 8298, 8446, 8298, 8446 472 760 H1 LYM1196 LYM1196 SORGHUM Sorghum bicolor 8323, 8471, 8323, 8471 473 Table 107. For cloning of each gene at least 2 primers were used: Forward (Fwd) or Reverse (Rev). In some cases, 4 primers were used: External forward (EF), External reverse (ER), nested forward (NF) or nested reverse (NR). The sequences of the primers used for cloning the genes are provided in the sequence listing. Some genes were synthetically produced by GeneArt (marked as “GA”).

Example 16 Transforming Agrobacterium tumefaciens Cells with Binary Vectors Harboring Putative Genes

The above described binary vectors were used to transform Agrobacterium cells. Two additional binary constructs, having only the At6669 or the 35S promoter, or no additional promoter were used as negative controls.

The binary vectors were introduced to Agrobacterium tumefaciens GV301 or LB4404 (for Arabidopsis) or AGL1 (for Brachypodium) competent cells (about 10⁹ cells/mL) by electroporation. The electroporation was performed using a MicroPulser electroporator (Biorad), 0.2 cm cuvettes (Biorad) and EC-2 electroporation program (Biorad). The treated cells were cultured in LB liquid medium at 28° C. for 3 hours, then plated over LB agar supplemented with gentamycin (for Arabidopsis; 50 mg/L; for Agrobacterium strains GV301) or streptomycin (for Arabidopsis; 300 mg/L; for Agrobacterium strain LB4404); or with Carbenicillin (for Brachypodium; 50 mg/L) and kanamycin (for Arabidopsis and Brachypodium; 50 mg/L) at 28° C. for 48 hours. Agrobacterium colonies, which were developed on the selective media, were further analyzed by PCR using the primers designed to span the inserted sequence in the pPI plasmid. The resulting PCR products were isolated and sequenced to verify that the correct polynucleotide sequences of the invention were properly introduced to the Agrobacterium cells.

Example 17 Producing Transgenic Arabidopsis Plants Expressing Selected Genes According to Some Embodiments of the Invention

Materials and Experimental Methods

Plant transformation—The Arabidopsis thaliana var Columbia (T₀ plants) were transformed according to the Floral Dip procedure [Clough S J, Bent A F. (1998) Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J. 16(6): 735-43; and Desfeux C, Clough S J, Bent A F. (2000) Female reproductive tissues were the primary targets of Agrobacterium-mediated transformation by the Arabidopsis floral-dip method. Plant Physiol. 123(3): 895-904] with minor modifications. Briefly, Arabidopsis thaliana Columbia (Col0) T₀ plants were sown in 250 ml pots filled with wet peat-based growth mix. The pots were covered with aluminum foil and a plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubated in a growth chamber at 18-24° C. under 16/8 hours light/dark cycles. The T₀ plants were ready for transformation six days before anthesis. Single colonies of Agrobacterium carrying the binary vectors harboring the yield genes were cultured in LB medium supplemented with kanamycin (50 mg/L) and gentamycin (50 mg/L). The cultures were incubated at 28° C. for 48 hours under vigorous shaking and centrifuged at 4000 rpm for 5 minutes. The pellets comprising Agrobacterium cells were resuspended in a transformation medium which contained half-strength (2.15 g/L) Murashige-Skoog (Duchefa); 0.044 μM benzylamino purine (Sigma); 112 μg/L B5 Gambourg vitamins (Sigma); 5% sucrose; and 0.2 ml/L Silwet L-77 (OSI Specialists, CT) in double-distilled water, at pH of 5.7.

Transformation of T₀ plants was performed by inverting each plant into an Agrobacterium suspension such that the above ground plant tissue was submerged for 3-5 seconds. Each inoculated T₀ plant was immediately placed in a plastic tray, then covered with clear plastic dome to maintain humidity and was kept in the dark at room temperature for 18 hours to facilitate infection and transformation. Transformed (transgenic) plants were then uncovered and transferred to a greenhouse for recovery and maturation. The transgenic T₀ plants were grown in the greenhouse for 3-5 weeks until siliques were brown and dry, then seeds were harvested from plants and kept at room temperature until sowing.

For generating T₁ and T₂ transgenic plants harboring the genes, seeds collected from transgenic T₀ plants were surface-sterilized by soaking in 70% ethanol for 1 minute, followed by soaking in 5% sodium hypochlorite and 0.05% triton for 5 minutes. The surface-sterilized seeds were thoroughly washed in sterile distilled water then placed on culture plates containing half-strength Murashig-Skoog (Duchefa); 2% sucrose; 0.8% plant agar; 50 mM kanamycin; and 200 mM carbenicylin (Duchefa). The culture plates were incubated at 4° C. for 48 hours then transferred to a growth room at 25° C. for an additional week of incubation. Vital T₁ Arabidopsis plants were transferred to a fresh culture plates for another week of incubation. Following incubation the T₁ plants were removed from culture plates and planted in growth mix contained in 250 ml pots. The transgenic plants were allowed to grow in a greenhouse to maturity. Seeds harvested from T₁ plants were cultured and grown to maturity as T₂ plants under the same conditions as used for culturing and growing the T₁ plants.

Example 18

Transformation of Brachypodium Distachyon Plants with the Polynucleotides of the Invention

Similar to the Arabidopsis model plant, Brachypodium distachyon has several features that recommend it as a model plant for functional genomic studies, especially in the grasses. Traits that make it an ideal model include its small genome (˜160 Mbp for a diploid genome and 355 Mbp for a polyploidy genome), small physical stature, a short lifecycle, and few growth requirements. Brachypodium is related to the major cereal grain species but is understood to be more closely related to the Triticeae (wheat, barley) than to the other cereals. Brachypodium, with its polyploidy accessions, can serve as an ideal model for these grains (whose genomics size and complexity is a major barrier to biotechnological improvement).

Brachypodium distachyon embryogenic calli were transformed using the procedure described by Vogel and Hill (2008) [High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3. Plant Cell Rep 27:471-478], Vain et al (2008) [Agrobacterium-mediated transformation of the temperate grass Brachypodium distachyon (genotypeBd21) for T-DNA insertional mutagenesis. Plant Biotechnology J 6: 236-245], and Vogel J, et al. (2006) [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211], each of which is fully incorporated herein by reference, with some minor modifications, which are briefly summarized hereinbelow.

Callus initiation—Immature spikes (about 2 months after seeding) were harvested at the very beginning of seeds filling. Spikes were then husked and surface sterilized with 3% NaClO containing 0.1% Tween 20, shaked on a gyratory shaker at low speed for 20 minutes. Following three rinses with sterile distilled water, embryos were excised under a dissecting microscope in a laminar flow hood using fine forceps.

Excised embryos (size—0.3 mm, bell shaped) were placed on callus induction medium (CIM) [LS salts (Linsmaier, E. M. & Skoog, F. 1965. Physiol. Plantarum 18, 100) and vitamins plus 3% sucrose, 6 mg/L CuSO₄, 2.5 mg/l 2,4-Dichlorophenoxyacetic Acid, pH 5.8 and 0.25% phytagel (Sigma)] scutellar side down, 100 embryos on a plate, and incubated at 28° C. in the dark. Ten days later, the embryonic calli were cleaned from emerging roots, shoots and somatic calli, and was subcultured onto fresh CIM medium. During culture, yellowish embryogenic calli (EC) appeared and were further selected (e.g., picked and transferred) for further incubation in the same conditions for additional 2 weeks. Twenty-five pieces of sub-cultured calli were then separately placed on 90×15 mm petri plates, and incubated as before for three additional weeks.

Transformation—As described in Vogel and Hill (2008, Supra), Agrobacterium was scraped off 2-day-old MGL plates (plates with the MGL medium which contains: Tryptone 5 g/l, Yeast Extract 2.5 g/l, NaCl 5 g/l, D-Mannitol 5 g/l, MgSO₄*7H₂O 0.204 g/l, K₂HPO₄ 0.25 g/l, Glutamic Acid 1.2 g/l, Plant Agar 7.5 g/l) and resuspended in liquid MS medium supplemented with 200 μM acetosyringone to an optic density (OD) at 600 nm (OD₆₀₀) of 0.6. Once the desired OD was attained, 1 ml of 10% Synperonic PE/F68 (Sigma) per 100 ml of inoculation medium was added.

To begin inoculation, 300 callus pieces were placed in approximately 12 plates (25 callus pieces in each plate) and covered with the Agrobacterium suspension (8-8.5 ml). The calli were incubated in the Agrobacterium suspension for 15 minutes with occasional gentle rocking. After incubation, the Agrobacterium suspension was aspirated off and the calli were then transferred into co-cultivation plates, prepared by placing a sterile 7-cm diameter filter paper in an empty 90×15 mm petri plate. The calli pieces were then gently distributed on the filter paper. One co-cultivation plate was used for two starting callus plates (50 initial calli pieces). The co-cultivation plates were then sealed with saran wrap and incubated at 24° C. in the dark for 3 days.

The callus pieces were then individually transferred onto CIM medium as described above, which was further supplemented with 200 mg/l Ticarcillin (to kill the Agrobacterium) and Bialaphos (5 mg/L) (for selection of the transformed resistant embryogenic calli sections), and incubated at 28° C. in the dark for 14 days.

The calli pieces were then transferred to shoot induction media (SIM; LS salts and vitamins plus 3% Maltose monohydrate) supplemented with 200 mg/l Ticarcillin, Bialaphos (5 mg/L), Indol-3-acetic acid (IAA) (0.25 mg/L), and 6-Benzylaminopurine (BAP) (1 mg/L), and were sub-cultured in light to the same media after 10 days (total of 20 days). At each sub-culture all the pieces from a single callus were kept together to maintain their independence and were incubated under the following conditions: lighting to a level of 60 lE m-2 s-1, a 16-h light, 8-h dark photoperiod and a constant 24° C. temperature. Plantlets emerged from the transformed calli.

When plantlets were large enough to handle without damage, they were transferred to plates containing the above mentioned shoot induction media (SIM) with Bialaphos. Each plantlet was considered as a different event. The plantlets grew axillary tillers and eventually became bushy. Each bush from the same plant (event ID) was then divided to tissue culture boxes (“Humus”) containing “rooting medium” [MS basal salts, 3% sucrose, 3 g/L phytagel, 2 mg/l a-Naphthalene Acetic Acid (NAA) and 1 mg/L IAA and Ticarcillin 200 mg/L, PH 5.8). All plants in a “Humus box” were different plants of the same transformation event. These plants are tested in bulk for expression of bar gene responsible for resistance to glufosinate using strips AgraStrip® LL, Romer Labs.

When plantlets established roots they were transplanted to soil and transferred to a greenhouse. To verify the transgenic status of plants containing the other constructs, T0 plants were subjected to PCR as previously described by Vogel et al. 2006 [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211].

Example 19 Evaluation of Transgenic Arabidopsis for Seed Yield and Plant Growth Rate Under Normal Conditions in Greenhouse Assays (GH—SM Assays)

Assay 1: Seed yield plant biomass and plant growth rate under normal greenhouse conditions—This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing 6 mM inorganic nitrogen in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weighted. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter and the selectable marker were used as control.

The plants were analyzed for their overall size, growth rate, flowering, seed yield, 1,000-seed weight, dry matter and harvest index (HI-seed yield/dry matter). Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb(dot)nih(dot)gov/]. Images are captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula VIII), rosette area (Formula IX), plot coverage (Formula XI) and harvest index (Formula XV) was calculated with the indicated formulas as described above.

Seeds average weight—At the end of the experiment all seeds were collected. The seeds were scattered on a glass tray and a picture is taken. Using the digital analysis, the number of seeds in each sample was calculated.

Dry weight and seed yield—On about day 80 from sowing, the plants were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot were measured and divided by the number of plants in each plot.

Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber;

Seed yield per plant=total seed weight per plant (gr.).

1000 seed weight (the weight of 1000 seeds) (gr.).

Oil percentage in seeds—At the end of the experiment all seeds from each plot were collected. Seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingier's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package.

Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.

Statistical analyses—To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Tables 108-112 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the seed maturation (GH-SM) assays under normal conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 108 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Dry Weight Inflorescence [mg] Flowering Emergence Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1062 81476.3 — — — 33.5 L −6 — — — LYM1019 81663.3 — — — 32.1 0.10 −10 25.1 L −6 LYM1019 81665.1 — — — — — — 25.2 L −5 CONT. — — — — 35.7 — — 26.6 — — LYM1240 80614.1 — — — 37.0 0.15 −3 — — — LYM1240 80614.4 — — — 37.2 0.21 −3 — — — LYM1236 80505.4 — — — 36.8 0.13 −4 — — — LYM1236 80505.5 — — — 37.6 0.26 −2 — — — LYM1224 81497.3 — — — 35.7 L −7 27.5 L −7 LYM1224 81497.4 — — — 36.2 0.02 −5 — — — LYM1224 81498.3 — — — 37.5 0.22 −2 — — — LYM1224 81498.6 — — — 36.8 0.29 −4 — — — LYM1213 81340.3 — — — 37.4 0.21 −2 — — — LYM1206 81222.2 — — — 37.5 0.22 −2 — — — LYM1188 81028.4 — — — 37.3 0.13 −3 — — — LYM1165 80587.2 — — — 35.1 0.09 −8 27.3 0.05 −7 LYM1165 80588.3 — — — 36.5 0.02 −5 — — — LYM1165 80590.3 — — — 37.2 0.30 −3 — — — LYM1165 80590.6 — — — 37.1 0.13 −3 — — — LYM1159 80276.5 1915.6 0.03 29 — — — — — — LYM1143 80542.2 — — — 37.3 0.13 −3 — — — LYM1126 80935.2 — — — 37.6 0.27 −2 — — — LYM1089 81093.1 — — — 36.2 0.02 −5 — — — LYM1089 81095.1 1592.5 0.18 7 — — — — — — LYM1079 81354.5 — — — 37.0 0.15 −3 — — — LYM1079 81355.5 1902.2 0.12 28 — — — — — — LYM1065 80968.3 — — — 37.3 0.16 −2 — — — LYM1062 81474.2 — — — 35.8 L −6 — — — LYM1062 81476.3 — — — 36.5 0.18 −5 — — — CONT. — 1488.7 — — 38.3 — — 29.4 — — LYM1240 80615.1 — — — — — — 26.8 0.13 −2 LYM1240 80615.2 — — — — — — 26.8 0.07 −2 LYM1224 81497.4 — — — — — — 26.8 0.13 −2 LYM1224 81497.6 — — — 35.9 0.04 −5 26.4 0.19 −4 LYM1224 81498.3 — — — 34.6 0.18 −9 25.5 L −7 LYM1224 81498.6 — — — — — — 26.1 0.19 −5 LYM1206 81220.5 — — — 36.7 0.11 −3 26.9 0.15 −2 LYM1206 81223.3 — — — — — — 27.0 0.20 −2 LYM1190 80378.1 — — — 36.8 0.25 −3 26.7 0.04 −3 LYM1190 80378.7 — — — 37.0 L −2 26.9 0.15 −2 LYM1190 80379.3 — — — — — — 26.7 0.06 −3 LYM1188 81028.4 — — — — — — 27.0 0.20 −2 LYM1188 81030.1 — — — — — — 26.5 0.03 −3 LYM1181 80371.6 — — — — — — 26.8 0.13 −2 LYM1181 80373.1 — — — — — — 26.3 0.09 −4 LYM1181 80373.6 — — — — — — 26.8 0.07 −2 LYM1181 80373.8 — — — — — — 27.0 0.20 −2 LYM1171 80591.4 — — — — — — 26.9 0.15 −2 LYM1171 80594.1 — — — — — — 27.0 0.20 −2 LYM1171 80595.5 — — — — — — 26.5 0.03 −3 LYM1171 80595.7 — — — — — — 26.7 0.17 −3 LYM1165 80587.2 — — — 34.6 0.19 −8 25.7 0.03 −6 LYM1165 80588.4 — — — 36.8 0.01 −3 26.9 0.15 −2 LYM1165 80590.3 — — — 37.1 0.07 −2 26.9 0.15 −2 LYM1165 80590.6 — — — 36.1 L −5 26.7 0.17 −3 LYM1159 80276.5 — — — 36.8 L −3 26.3 0.09 −4 LYM1159 80276.6 — — — — — — 26.9 0.15 −2 LYM1156 81017.1 — — — 37.1 0.04 −2 26.9 0.15 −2 LYM1156 81019.1 — — — — — — 27.0 0.20 −2 LYM1143 80539.3 — — — — — — 26.9 0.15 −2 LYM1143 80540.1 — — — — — — 26.5 0.27 −3 LYM1143 80542.2 — — — — — — 27.0 0.20 −2 LYM1138 81477.5 — — — — — — 26.7 0.04 −3 LYM1138 81480.3 — — — — — — 26.9 0.15 −2 LYM1126 80934.2 — — — — — — 26.9 0.15 −2 LYM1126 80934.5 — — — — — — 27.0 0.20 −2 LYM1126 80935.2 — — — — — — 26.8 0.13 −2 LYM1126 80935.4 — — — — — — 27.1 0.29 −1 LYM1099 81215.5 — — — — — — 26.8 0.13 −2 LYM1099 81216.3 — — — — — — 27.0 0.20 −2 LYM1079 81354.5 — — — — — — 27.0 0.20 −2 LYM1079 81355.5 — — — — — — 27.0 0.20 −2 LYM1079 81358.1 — — — — — — 26.7 0.17 −3 LYM1079 81358.2 — — — 35.9 L −5 26.4 0.01 −4 LYM1068 81084.1 — — — — — — 27.0 0.20 −2 LYM1068 81085.1 — — — — — — 27.0 0.20 −2 LYM1065 80968.3 — — — — — — 27.0 0.20 −2 LYM1065 80970.3 — — — — — — 26.8 0.07 −2 LYM1065 80971.1 — — — — — — 26.6 0.09 −3 LYM1065 80971.3 — — — — — — 27.0 0.20 −2 LYM1065 80971.4 — — — 37.1 0.04 −2 27.0 0.20 −2 CONT. — — — — 37.8 — — 27.4 — — LYM1171 80591.4 1804.4 0.18 23 — — — — — — LYM1171 80594.1 — — — — — — 27.1 0.07 −2 LYM1171 80595.3 — — — — — — 27.2 0.12 −2 LYM1171 80595.7 — — — — — — 27.0 0.03 −3 LYM1167 80183.4 — — — — — — 27.2 0.12 −2 LYM1110 81005.2 — — — 34.7 0.04 −3 27.0 0.03 −3 LYM1100 80988.5 — — — — — — 27.2 0.12 −2 LYM1092 81365.2 — — — 34.5 0.14 −3 27.0 0.03 −3 LYM1092 81366.5 — — — — — — 27.1 0.05 −2 LYM1092 81366.6 — — — — — — 27.2 0.17 −2 LYM1056 80339.1 — — — — — — 27.2 0.12 −2 LYM1056 80339.3 — — — 35.2 0.22 −1 27.1 0.07 −2 LYM1056 80340.1 — — — — — — 27.0 0.03 −3 LYM1055 81145.2 1600.6 0.09 9 — — — — — — LYM1055 81146.3 — — — 35.2 0.22 −1 27.2 0.12 −2 LYM1049 80103.6 — — — — — — 27.2 0.12 −2 LYM1043 81236.1 — — — — — — 27.2 0.12 −2 LYM1043 81237.4 — — — — — — 27.1 0.05 −2 LYM1043 81238.2 — — — 34.7 0.23 −3 27.1 0.05 −2 LYM1041 80957.4 1693.8 0.03 15 — — — — — — LYM1041 80961.2 — — — — — — 27.0 0.03 −3 LYM1040 80952.5 — — — — — — 27.0 0.03 −3 LYM1040 80956.1 — — — 35.2 0.22 −1 — — — LYM1034 80100.6 — — — — — — 27.0 0.03 −3 LYM1019 81663.2 — — — — — — 27.0 0.03 −3 LYM1019 81665.1 — — — — — — 27.0 0.03 −3 LYM1019 81666.1 — — — — — — 27.2 0.12 −2 LYM1019 81666.2 — — — 34.6 0.17 −3 27.1 0.05 −2 LYM1019 81666.3 — — — — — — 27.2 0.12 −2 LYM1010 81063.2 — — — 34.6 0.25 −3 27.1 0.05 −2 LYM1010 81064.2 1586.9 0.18 8 — — — — — — CONT. — 1469.5 — — 35.6 — — 27.7 — Table 108: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.

It should be noted that a negative increment (in percentages) when found in flowering or inflorescence emergence indicates drought avoidance of the plant.

TABLE 109 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Leaf Blade Area Plot Coverage [cm²] Leaf Number [cm²] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1062 81474.2 — — — 9.19 0.08 3 — — — LYM1062 81476.3 0.814 0.29 8 — — — 43.4 0.05 9 LYM1061 80111.1 — — — 9.44 L 5 — — — LYM1061 80111.3 — — — 9.12 0.12 2 — — — LYM1061 80112.1 — — — 9.38 L 5 — — — LYM1061 80112.4 0.824 0.30 9 — — — — — — LYM1061 80115.2 — — — 9.38 0.09 5 — — — LYM1056 80339.1 0.804 0.15 7 — — — 41.9 0.17 6 LYM1056 80339.3 — — — — — — 43.8 0.14 10 LYM1055 81146.3 — — — 9.31 0.26 4 — — — LYM1049 80104.3 — — — 10.2 0.26 14 — — — LYM1049 80104.5 — — — 9.44 0.18 5 — — — LYM1043 81234.1 — — — 9.44 L 5 — — — LYM1043 81236.1 — — — 9.31 0.26 4 — — — LYM1043 81238.2 — — — 9.56 L 7 — — — LYM1041 80957.2 — — — 9.56 L 7 — — — LYM1041 80960.2 0.821 0.04 9 — — — 43.0 0.05 8 LYM1041 80961.1 — — — 9.19 0.08 3 — — — LYM1038 80326.4 — — — 9.38 0.09 5 — — — LYM1038 80327.2 — — — 9.25 0.02 3 — — — LYM1036 81078.1 — — — 9.38 L 5 44.9 0.18 13 LYM1036 81080.6 — — — 9.38 0.09 5 — — — LYM1025 80091.4 0.788 0.22 5 — — — — — — LYM1025 80094.3 — — — 9.31 0.02 4 — — — LYM1025 80094.4 — — — 9.50 L 6 — — — LYM1019 81663.3 0.937 L 24 9.81 0.08 10 51.9 0.02 31 LYM1019 81665.1 0.797 0.13 6 — — — 42.6 0.08 7 LYM1019 81666.2 0.830 0.05 10 — — — 45.0 0.01 13 CONT. — 0.754 — — 8.95 — — 39.7 — — LYM1240 80615.2 0.940 L 12 10.0 0.20 7 50.0 0.22 13 LYM1236 80505.2 — — — — — — 46.7 0.11 6 LYM1236 80505.5 0.965 L 15 — — — 50.2 0.03 13 LYM1236 80506.5 — — — — — — 49.0 L 11 LYM1224 81497.4 0.965 L 15 9.62 0.21 3 53.5 L 21 LYM1224 81497.6 0.982 L 17 9.81 0.19 5 53.7 0.21 21 LYM1224 81498.3 1.03 L 22 9.62 0.21 3 56.0 L 27 LYM1224 81498.6 1.10 L 31 — — — 62.4 0.10 41 LYM1213 81340.3 0.877 0.19 4 — — — — — — LYM1213 81340.4 0.941 0.09 12 — — — 50.7 0.27 15 LYM1213 81343.3 — — — 10.1 0.24 8 — — — LYM1213 81343.4 1.02 0.23 21 — — — 53.9 0.27 22 LYM1206 81220.5 0.921 0.02 10 — — — 49.4 0.07 12 LYM1188 81028.3 — — — 10.1 0.02 8 — — — LYM1179 80243.1 0.933 L 11 9.94 L 6 51.1 0.01 16 LYM1179 80243.4 — — — 10.4 0.20 11 — — — LYM1179 80243.6 0.990 L 18 — — — 51.3 0.13 16 LYM1179 80245.1 0.981 0.15 17 — — — 52.1 0.13 18 LYM1179 80245.3 0.891 0.10 6 — — — 46.2 0.21 4 LYM1165 80587.2 0.997 0.04 19 10.1 0.10 8 55.3 L 25 LYM1165 80588.3 1.04 0.01 24 10.1 0.16 8 58.7 0.05 33 LYM1165 80588.4 — — — 10.1 0.24 8 51.5 0.16 16 LYM1165 80590.3 — — — 9.94 L 6 50.7 0.05 15 LYM1165 80590.6 0.951 0.16 13 — — — 51.8 0.20 17 LYM1159 80276.5 1.01 0.19 20 — — — 57.6 0.24 30 LYM1159 80279.2 — — — 9.69 0.29 4 — — — LYM1143 80539.1 0.956 L 14 — — — 50.6 L 14 LYM1143 80540.1 0.876 0.20 4 — — — — — — LYM1143 80541.3 0.919 0.04 9 — — — 51.4 L 16 LYM1143 80542.1 0.880 0.26 5 9.56 0.14 2 46.7 0.14 6 LYM1126 80934.2 — — — 9.56 0.14 2 — — — LYM1126 80935.3 — — — 9.50 0.22 2 — — — LYM1126 80935.5 — — — 9.75 L 4 — — — LYM1099 81215.3 0.911 0.06 8 — — — 48.6 0.01 10 LYM1099 81217.3 — — — 9.50 0.22 2 — — — LYM1089 81093.1 0.909 0.05 8 — — — — — — LYM1089 81095.1 1.06 0.04 25 — — — 58.5 L 32 LYM1079 81355.5 1.01 0.02 20 9.88 L 6 55.6 L 26 LYM1079 81358.2 — — — — — — 48.3 0.28 9 LYM1065 80968.3 0.926 0.04 10 — — — 50.2 L 14 LYM1065 80970.3 0.911 0.11 8 — — — — — — LYM1065 80971.3 0.908 0.03 8 — — — 50.2 0.16 14 LYM1062 81474.2 1.13 0.01 34 10.7 0.04 14 66.2 0.10 50 LYM1062 81474.5 1.01 L 20 — — — 55.3 0.10 25 LYM1062 81476.2 — — — — — — 48.5 0.07 10 LYM1062 81476.3 1.07 0.05 27 10.4 0.30 12 59.7 0.13 35 CONT. — 0.841 — — 9.36 — — 44.2 — — LYM1240 80614.4 1.21 0.02 12 10.9 L 14 70.8 0.02 19 LYM1240 80615.1 1.29 0.30 19 10.9 0.13 15 — — — LYM1224 81497.3 — — — 10.1 0.08 6 — — — LYM1224 81497.4 1.19 0.03 10 — — — 67.8 0.06 14 LYM1224 81497.6 1.29 0.05 19 — — — 75.4 0.26 27 LYM1224 81498.3 1.33 L 23 10.6 L 11 79.7 L 34 LYM1224 81498.6 1.31 0.06 21 — — — 77.4 0.05 31 LYM1206 81220.5 1.19 0.05 9 10.4 0.02 9 68.5 0.03 16 LYM1190 80378.1 1.33 L 23 11.6 L 22 82.0 L 38 LYM1190 80378.7 1.21 0.04 11 — — — 69.2 0.17 17 LYM1181 80371.6 1.32 L 22 10.4 0.02 9 75.8 L 28 LYM1181 80373.1 1.13 0.28 4 10.5 0.01 10 66.7 0.06 12 LYM1171 80591.4 — — — 10.2 0.04 7 — — — LYM1171 80594.1 1.14 0.25 5 10.2 0.09 7 64.6 0.22 9 LYM1171 80595.7 — — — 10.3 0.28 8 — — — LYM1165 80587.2 1.20 0.06 11 9.94 0.26 4 68.5 0.02 15 LYM1165 80588.4 1.27 0.06 17 10.0 0.14 5 73.9 0.13 25 LYM1165 80590.6 1.26 L 16 10.2 0.09 7 71.7 0.01 21 LYM1159 80276.5 1.38 L 27 10.8 0.22 13 84.5 L 43 LYM1159 80276.6 — — — 10.1 0.15 6 — — — LYM1159 80279.2 — — — 10.4 0.02 9 — — — LYM1156 81017.1 1.27 L 17 9.94 0.26 4 70.2 0.03 18 LYM1156 81017.4 1.15 0.28 6 10.1 0.08 6 65.2 0.13 10 LYM1143 80539.3 — — — 10.1 0.07 6 69.1 0.26 16 LYM1143 80540.1 1.21 0.07 11 10.2 0.09 7 71.1 L 20 LYM1138 81477.5 1.19 0.12 10 10.4 0.03 9 72.8 L 23 LYM1138 81480.1 1.44 0.15 33 10.7 0.08 12 86.7 0.09 46 LYM1126 80935.2 — — — 10.0 0.11 5 — — — LYM1099 81215.3 — — — 9.88 0.27 4 — — — LYM1099 81215.5 — — — 10.2 0.22 7 — — — LYM1079 81354.5 1.15 0.23 6 — — — 65.3 0.09 10 LYM1079 81358.2 1.17 0.10 8 10.0 0.14 5 — — — LYM1065 80970.3 — — — 10.0 0.14 5 66.6 0.19 12 LYM1065 80971.1 — — — — — — 64.6 0.15 9 LYM1065 80971.3 — — — 10.2 0.22 7 63.8 0.25 8 CONT. — 1.08 — — 9.54 — — 59.3 — — LYM1171 80591.4 1.20 0.21 9 — — — 71.4 0.16 17 LYM1167 80183.2 — — — 10.4 0.19 2 — — — LYM1061 80114.2 — — — 10.8 0.03 6 67.0 0.18 9 LYM1056 80339.3 — — — — — — 67.9 0.28 11 LYM1043 81236.1 1.23 0.04 12 — — — 74.0 0.01 21 LYM1043 81238.2 1.32 0.03 21 — — — 75.6 0.05 23 LYM1040 80952.5 1.20 0.14 9 — — — 70.1 0.05 14 LYM1036 81078.1 1.30 0.03 18 — — — 70.1 0.25 14 LYM1019 81663.2 — — — 10.8 0.23 7 70.1 0.07 14 LYM1019 81665.1 — — — 10.8 L 6 71.0 0.08 16 LYM1019 81666.3 1.19 0.13 9 — — — 67.9 0.10 11 LYM1010 81063.4 1.20 0.11 9 10.9 L 8 68.9 0.06 12 CONT. — 1.10 — — 10.1 — — 61.3 — — Table 109: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.

TABLE 110 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of Leaf RGR Of Plot RGR Of Rosette Number Coverage Diameter Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1062 81475.2 0.649 0.21 18 — — — — — — LYM1061 80111.1 — — — — — — 0.354 0.25 9 LYM1061 80112.4 — — — — — — 0.358 0.18 10 LYM1056 80339.3 — — — — — — 0.368 0.09 13 LYM1055 81146.3 0.617 0.29 12 — — — — — — LYM1049 80104.3 0.720 0.03 31 — — — — — — LYM1049 80104.5 0.643 0.18 17 — — — — — — LYM1043 81238.2 0.628 0.21 14 — — — 0.353 0.27 8 LYM1041 80957.2 0.666 0.10 21 — — — — — — LYM1038 80328.2 0.639 0.22 16 — — — — — — LYM1025 80094.3 0.624 0.28 14 — — — — — — LYM1025 80094.5 0.621 0.24 13 — — — — — — LYM1019 81663.3 0.638 0.18 16 6.49 0.06 29 — — — LYM1019 81665.1 0.652 0.16 19 — — — — — — LYM1019 81666.2 — — — — — — 0.357 0.18 10 CONT. — 0.549 — — 5.02 — — 0.326 — — LYM1240 80615.2 0.663 0.21 23 5.92 0.28 14 — — — LYM1236 80505.4 0.661 0.19 23 — — — — — — LYM1236 80505.5 — — — 6.02 0.21 15 0.317 0.19 12 LYM1224 81497.4 — — — 6.19 0.13 19 — — — LYM1224 81497.6 — — — 6.34 0.09 22 0.311 0.27 10 LYM1224 81498.3 — — — 6.65 0.03 28 0.324 0.10 14 LYM1224 81498.6 — — — 7.50 L 44 0.344 0.02 21 LYM1213 81340.4 — — — 6.08 0.18 17 — — — LYM1213 81343.4 — — — 6.30 0.09 21 0.313 0.24 10 LYM1188 81028.3 0.654 0.21 22 — — — — — — LYM1179 80243.1 — — — 6.05 0.18 16 — — — LYM1179 80243.4 0.688 0.14 28 — — — — — — LYM1179 80243.6 — — — 6.06 0.20 16 0.318 0.16 12 LYM1179 80245.1 — — — 6.16 0.14 18 — — — LYM1165 80587.2 0.652 0.22 21 6.62 0.03 27 0.334 0.05 18 LYM1165 80588.3 0.652 0.22 21 6.99 L 34 0.326 0.08 15 LYM1165 80588.4 — — — 6.07 0.20 16 — — — LYM1165 80590.3 — — — 5.98 0.23 15 — — — LYM1165 80590.6 — — — 6.11 0.16 17 0.311 0.27 10 LYM1159 80276.5 0.711 0.08 32 6.76 0.03 30 — — — LYM1143 80539.1 — — — 6.06 0.18 16 0.310 0.27 9 LYM1143 80541.3 — — — 6.03 0.20 16 — — — LYM1089 81095.1 — — — 6.93 0.01 33 0.319 0.14 13 LYM1079 81355.5 — — — 6.60 0.04 27 0.318 0.16 12 LYM1065 80968.3 — — — 5.91 0.27 14 — — — LYM1065 80970.3 — — — 6.04 0.21 16 0.309 0.29 9 LYM1065 80971.3 — — — 5.88 0.28 13 — — — LYM1062 81474.2 0.671 0.15 25 7.80 L 50 0.372 L 31 LYM1062 81474.5 — — — 6.51 0.05 25 0.325 0.09 15 LYM1062 81476.3 0.692 0.11 29 7.09 L 36 0.346 0.02 22 CONT. — 0.538 — — 5.21 — — 0.283 — — LYM1240 80614.1 0.620 0.16 14 — — — — — — LYM1240 80614.4 0.667 0.02 23 7.09 0.19 20 0.400 0.18 11 LYM1240 80615.1 0.660 0.05 22 7.34 0.13 25 0.404 0.17 12 LYM1224 81497.4 — — — 6.81 0.30 16 — — — LYM1224 81497.6 0.614 0.22 13 7.45 0.11 27 — — — LYM1224 81498.3 — — — 7.88 0.04 34 0.414 0.08 15 LYM1224 81498.6 0.643 0.08 19 7.64 0.07 30 — — — LYM1206 81220.5 0.614 0.17 13 — — — — — — LYM1190 80378.1 0.709 L 31 8.11 0.02 38 0.412 0.09 15 LYM1190 80378.7 — — — 6.86 0.28 17 — — — LYM1188 81030.1 0.633 0.13 17 — — — — — — LYM1181 80371.6 0.611 0.19 13 7.48 0.09 27 0.401 0.19 12 LYM1181 80373.1 0.653 0.04 21 — — — 0.403 0.16 12 LYM1165 80587.2 0.608 0.24 12 6.88 0.26 17 0.392 0.28 9 LYM1165 80588.4 — — — 7.33 0.12 24 0.394 0.28 10 LYM1165 80590.3 0.619 0.15 14 — — — — — — LYM1165 80590.6 — — — 7.09 0.19 20 0.393 0.26 9 LYM1159 80276.5 0.625 0.16 15 8.42 0.01 43 0.445 L 24 LYM1159 80279.2 0.606 0.22 12 — — — — — — LYM1156 81017.1 — — — 7.03 0.20 19 0.406 0.14 13 LYM1143 80539.3 — — — 6.93 0.25 18 0.396 0.23 10 LYM1143 80540.1 — — — 7.09 0.18 20 — — — LYM1138 81477.5 0.610 0.19 12 7.23 0.15 23 0.398 0.21 11 LYM1138 81480.1 0.624 0.14 15 8.69 L 47 0.433 0.02 21 LYM1065 80971.3 0.616 0.18 14 — — — — — — CONT. — 0.542 — — 5.89 — — 0.359 — — LYM1171 80591.4 — — — 8.48 0.27 17 0.368 0.22 13 LYM1171 80595.3 0.765 0.17 15 — — — — — — LYM1167 80182.1 — — — — — — 0.370 0.18 14 LYM1110 81005.2 0.750 0.22 13 — — — — — — LYM1056 80339.3 0.777 0.13 17 — — — 0.365 0.24 12 LYM1055 81146.3 0.765 0.18 15 — — — — — — LYM1043 81236.1 — — — 8.88 0.14 22 0.370 0.17 14 LYM1043 81238.2 — — — 9.04 0.11 25 0.386 0.09 19 LYM1036 81078.1 — — — 8.42 0.29 16 0.378 0.11 16 LYM1034 80100.2 0.747 0.28 12 — — — — — — LYM1019 81663.2 — — — — — — 0.377 0.12 16 LYM1019 81665.1 — — — 8.46 0.27 17 0.373 0.15 14 LYM1019 81666.3 — — — — — — 0.368 0.20 13 CONT. — 0.667 — — 7.25 — — 0.325 — — Table 110: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01. RGR = relative growth rate.

TABLE 111 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Rosette Area Rosette Diameter Harvest Index [cm²] [cm²] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1062 81476.3 — — — 5.43 0.05 9 3.94 0.03 6 LYM1061 80112.4 — — — — — — 4.02 0.14 8 LYM1056 80339.1 — — — 5.24 0.17 6 3.91 0.07 5 LYM1056 80339.3 — — — 5.48 0.14 10 4.07 0.05 9 LYM1041 80960.2 — — — 5.37 0.05 8 3.89 0.10 5 LYM1038 80330.4 — — — — — — 3.92 0.20 5 LYM1036 81078.1 — — — 5.62 0.18 13 3.93 0.16 6 LYM1036 81080.6 — — — — — 3.85 0.19 3 LYM1019 81663.3 — — — 6.49 0.02 31 4.18 L 12 LYM1019 81665.1 — — — 5.32 0.08 7 3.93 0.05 5 LYM1019 81666.2 — — — 5.62 0.01 13 4.07 L 9 LYM1019 81666.3 — — — — — — 3.93 0.15 5 CONT. — — — — 4.97 — — 3.72 — — LYM1240 80614.4 0.188 0.23 32 — — — — — — LYM1240 80615.2 — — — 6.25 0.22 13 4.16 0.26 6 LYM1236 80505.2 — — — 5.84 0.11 6 4.04 0.28 3 LYM1236 80505.5 0.171 0.02 20 6.27 0.03 13 4.27 L 9 LYM1236 80506.5 0.158 0.15 10 6.13 L 11 4.17 L 6 LYM1224 81497.3 0.210 0.09 47 — — — — — — LYM1224 81497.4 0.194 0.26 36 6.69 L 21 4.29 0.06 9 LYM1224 81497.6 0.179 0.07 26 6.71 0.21 21 4.36 0.07 11 LYM1224 81498.3 0.173 0.28 21 7.00 L 27 4.45 L 13 LYM1224 81498.6 — — — 7.80 0.10 41 4.67 0.09 19 LYM1213 81340.4 0.167 0.04 17 6.34 0.27 15 4.23 0.12 8 LYM1213 81343.4 — — — 6.73 0.27 22 4.42 0.21 12 LYM1206 81220.5 — — — 6.18 0.07 12 4.11 0.07 5 LYM1179 80243.1 — — — 6.39 0.01 16 4.14 0.03 5 LYM1179 80243.6 — — — 6.41 0.13 16 4.35 L 11 LYM1179 80245.1 — — — 6.52 0.13 18 4.19 0.01 7 LYM1179 80245.3 — — — 5.78 0.21 4 — — — LYM1165 80587.2 0.196 0.25 37 6.91 L 25 4.43 0.07 13 LYM1165 80588.3 0.207 L 45 7.34 0.05 33 4.46 L 14 LYM1165 80588.4 — — — 6.44 0.16 16 — — — LYM1165 80590.3 — — — 6.34 0.05 15 4.21 0.29 7 LYM1165 80590.6 — — — 6.48 0.20 17 4.20 0.21 7 LYM1159 80276.5 — — — 7.21 0.24 30 4.45 0.19 13 LYM1143 80539.1 — — — 6.32 L 14 4.24 L 8 LYM1143 80541.3 — — — 6.42 L 16 4.18 L 7 LYM1143 80542.1 0.158 0.24 11 5.84 0.14 6 4.11 0.12 5 LYM1126 80934.2 0.157 0.17 10 — — — — — — LYM1099 81215.3 — — — 6.07 0.01 10 4.11 0.02 5 LYM1089 81093.1 0.195 L 37 — — — 4.10 0.15 5 LYM1089 81095.1 — — — 7.31 L 32 4.46 0.04 14 LYM1079 81354.5 0.199 0.13 39 — — — — — — LYM1079 81355.5 — — — 6.95 L 26 4.35 0.02 11 LYM1079 81358.2 — — — 6.03 0.28 9 4.13 0.23 5 LYM1065 80968.3 0.154 0.24 8 6.28 L 14 4.11 0.19 5 LYM1065 80970.5 0.164 0.13 15 — — — — — — LYM1065 80971.3 — — — 6.28 0.16 14 4.13 0.10 5 LYM1062 81474.2 0.209 0.04 47 8.27 0.10 50 4.88 0.02 24 LYM1062 81474.5 — — — 6.91 0.10 25 4.45 L 13 LYM1062 81476.2 0.178 0.06 25 6.06 0.07 10 4.11 0.09 5 LYM1062 81476.3 0.200 0.04 40 7.46 0.13 35 4.62 0.04 18 CONT. — 0.143 — — 5.53 — — 3.93 — — LYM1240 80614.1 — — — — — — 4.80 0.28 4 LYM1240 80614.4 — — — 8.85 0.02 19 5.05 0.04 9 LYM1240 80615.1 — — — — — — 5.20 0.27 12 LYM1224 81497.4 — — — 8.47 0.06 14 5.02 0.02 8 LYM1224 81497.6 — — — 9.42 0.26 27 — — — LYM1224 81498.3 — — — 9.97 L 34 5.42 L 17 LYM1224 81498.6 — — — 9.68 0.05 31 5.18 L 12 LYM1206 81220.5 — — — 8.57 0.03 16 4.77 0.22 3 LYM1190 80378.1 — — — 10.3 L 38 5.45 L 18 LYM1190 80378.7 — — — 8.65 0.17 17 5.04 0.19 9 LYM1181 80371.6 — — — 9.48 L 28 5.27 L 14 LYM1181 80373.1 — — — 8.34 0.06 12 5.05 0.09 9 LYM1171 80594.1 — — — 8.08 0.22 9 — — — LYM1165 80587.2 — — — 8.56 0.02 15 5.11 L 10 LYM1165 80588.4 — — — 9.24 0.13 25 5.17 L 12 LYM1165 80590.6 — — — 8.97 0.01 21 5.08 0.01 10 LYM1159 80276.5 — — — 10.6 L 43 5.67 L 23 LYM1156 81017.1 — — — 8.78 0.03 18 5.19 L 12 LYM1156 81017.4 — — — 8.15 0.13 10 4.83 0.09 4 LYM1143 80539.3 — — — 8.63 0.26 16 5.06 0.21 9 LYM1143 80540.1 — — — 8.89 L 20 4.98 0.01 8 LYM1138 81477.5 — — — 9.10 L 23 5.12 L 11 LYM1138 81480.1 — — — 10.8 0.09 46 5.57 0.14 20 LYM1079 81354.5 — — — 8.16 0.09 10 4.82 0.10 4 LYM1079 81358.2 — — — — — — 4.95 0.18 7 LYM1065 80970.3 — — — 8.32 0.19 12 4.89 0.17 6 LYM1065 80971.1 — — — 8.08 0.15 9 — — — LYM1065 80971.3 — — — 7.97 0.25 8 4.81 0.15 4 CONT. — — — — 7.41 — — 4.63 — — LYM1171 80591.4 — — — 8.93 0.16 17 4.87 0.20 9 LYM1171 80594.1 — — — — — — 4.66 0.13 4 LYM1171 80595.8 0.353 0.20 11 — — — — — — LYM1110 81003.1 0.363 0.11 15 — — — — — — LYM1110 81004.2 0.460 0.17 45 — — — — — — LYM1110 81006.2 0.422 0.19 33 — — — — — — LYM1092 81367.1 0.499 L 58 — — — — — — LYM1061 80114.2 — — — 8.37 0.18 9 4.75 0.04 6 LYM1056 80339.3 — — — 8.49 0.28 11 4.77 0.09 7 LYM1056 80340.1 0.368 0.09 16 — — — — — — LYM1043 81236.1 — — — 9.25 0.01 21 4.83 0.02 8 LYM1043 81238.2 — — — 9.45 0.05 23 5.15 0.16 15 LYM1041 80957.2 — — — — — — 4.65 0.27 4 LYM1040 80952.5 — — — 8.76 0.05 14 4.75 0.14 6 LYM1040 80955.2 0.494 0.14 56 — — — — — — LYM1036 81078.1 — — — 8.77 0.25 14 4.98 0.03 12 LYM1036 81078.2 — — — — — — 4.63 0.15 4 LYM1019 81663.2 — — — 8.76 0.07 14 4.84 0.02 8 LYM1019 81665.1 — — — 8.88 0.08 16 4.94 L 11 LYM1019 81666.3 — — — 8.49 0.10 11 4.86 0.04 9 LYM1010 81063.4 — — — 8.61 0.06 12 4.88 L 9 CONT. — 0.317 — — 7.66 — — 4.46 — — Table 111: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.

TABLE 112 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Seed Yield [mg] 1000 Seed Weight [mg] Gene Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. LYM1224 81497.3 308.5 0.07 44 — — — LYM1224 81497.4 237.3 0.23 11 — — — LYM1224 81497.6 237.7 0.29 11 — — — LYM1213 81340.4 241.2 0.24 13 — — — LYM1165 80587.2 292.7 0.09 37 — — — LYM1165 80588.3 247.7 0.11 16 — — — LYM1099 81215.2 287.0 0.20 34 — — — LYM1089 81093.1 236.7 0.25 11 — — — LYM1079 81354.5 242.0 0.16 13 — — — LYM1062 81474.2 286.8 0.02 34 — — — LYM1062 81476.2 260.3 0.15 22 — — — LYM1062 81476.3 251.3 0.21 17 — — — CONT. — 214.0 — — — — — LYM1171 80591.4 — — — 27.7 0.02 20 LYM1171 80594.1 — — — 24.8 0.12 7 LYM1171 80595.8 — — — 24.0 0.04 4 LYM1167 80182.1 — — — 25.9 0.18 12 LYM1110 81005.2 — — — 24.9 0.08 8 LYM1110 81006.2 522.2 0.16 14 — — — LYM1056 80338.5 — — — 27.8 L 20 LYM1055 81146.3 — — — 24.2 0.12 5 LYM1040 80952.5 — — — 26.8 0.05 16 LYM1025 80091.1 — — — 24.2 0.03 5 LYM1010 81062.1 521.9 0.16 14 — — — LYM1010 81063.4 — — — 25.9 L 12 CONT. — 457.9 — — 23.1 — — Table 112: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.

Example 20 Evaluation of Transgenic Arabidopsis for Seed Yield and Plant Growth Rate Under Normal Conditions in Greenhouse Assays Until Bolting (GH -SB Assays)

Assay 2: Plant performance improvement measured until bolting stage: plant biomass and plant growth rate under normal greenhouse conditions (GH -SB Assays)—This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse under normal growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with ½ MS medium and a selection agent (Kanamycin). The T₂ transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing of 6 mM inorganic nitrogen in the form of KNO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂ and microelements. All plants were grown in the greenhouse until bolting. Plant biomass (the above ground tissue) was weighted in directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).

Each construct was validated at its T₂ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter.

The plants were analyzed for their overall size, growth rate, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.

The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.

The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubes were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.

An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb(dot)nih(dot)gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.

Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula VIII), rosette area (Formula IX) and plot coverage (Formula XI) were calculated using the indicated formulas as described above.

Plant Fresh and Dry weight—On about day 80 from sowing, the plants were harvested and directly weighted for the determination of the plant fresh weight (FW) and left to dry at 50° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Statistical analyses—To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Experimental Results:

Tables 113-115 summarize the observed phenotypes of transgenic plants expressing the genes constructs using the GH -SB Assays.

The genes listed in Tables 113-115 improved plant performance when grown at normal conditions. These genes produced larger plants with a larger photosynthetic area (increased photosynthetic capacity), biomass (fresh weight, dry weight, rosette diameter, rosette area and plot coverage), relative growth rate, blade relative area and petiole relative area. The genes were cloned under the regulation of a constitutive At6669 promoter (SEQ ID NO: 8190). The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value <0.1 was considered statistically significant.

TABLE 113 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Dry Weight [mg] Fresh Weight [mg] Leaf Number Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1239 82025.4 — — — — — — 9.94 0.09 9 LYM1239 82026.4 — — — 1962.5 0.01 21 — — — LYM1153 83267.4 175.0 0.22 5 1900.0 0.20 17 9.25 0.25 1 LYM1153 83267.5 — — — — — — 9.31 0.16 2 LYM1153 83269.5 190.6 0.15 14 2037.5 L 25 — — — LYM1127 81669.2 — — — — — — 9.81 0.25 8 LYM1127 81671.6 178.1 0.23 7 1768.8 0.11 9 — — — LYM1125 83041.5 — — — — — — 9.38 0.23 3 LYM1125 83042.1 — — — 1856.2 0.03 14 9.25 0.25 1 LYM1087 81361.5 — — — 1743.8 0.18 7 — — — LYM1075 83047.2 176.2 0.11 6 1823.2 0.06 12 — — — LYM1075 83047.8 183.8 0.21 10 1875.0 0.03 15 — — — LYM1070 82533.4 199.0 0.07 19 1977.1 L 21 — — — LYM1044 82612.2 — — — 1711.6 0.24 5 — — — LYM1035 83262.1 — — — — — — 9.44 0.04 3 CONT. — 166.8 — — 1628.6 — — 9.12 — — LYM1229 81574.1 331.2 L 25 4062.5 L 23 — — — LYM1229 81575.3 333.8 0.02 26 3993.8 0.01 21 — — — LYM1229 81576.5 — — — — — — 9.94 0.04 9 LYM1221 81714.1 — — — 3612.5 0.27 9 — — — LYM1221 81714.5 — — — 3793.8 0.24 15 — — — LYM1221 81716.1 — — — 3712.5 0.19 12 — — — LYM1217 80263.4 — — — 3518.8 0.26 6 — — — LYM1217 80264.2 312.4 0.09 18 3545.5 0.21 7 — — — LYM1212 80778.2 303.1 0.04 14 — — — — — — LYM1212 80779.2 297.3 0.10 12 3863.4 0.02 17 — — — LYM1212 80779.5 — — — 3670.5 0.17 11 — — — LYM1195 81917.3 350.8 L 32 4141.7 0.02 25 — — — LYM1195 81918.1 325.0 L 22 3887.5 0.02 17 — — — LYM1195 81919.3 298.8 0.12 13 3825.0 0.17 15 — — — LYM1194 81623.1 303.1 0.02 14 3762.5 0.03 14 — — — LYM1194 81624.2 300.0 0.05 13 3643.8 0.29 10 — — — LYM1194 81624.6 287.6 0.20 8 — — — — — — LYM1146 81487.4 299.9 0.26 13 — — — — — — LYM1146 81488.2 323.8 L 22 4078.6 L 23 — — — LYM1146 81491.5 319.4 L 20 3868.8 0.03 17 — — — LYM1138 81477.5 300.0 0.21 13 3681.2 0.13 11 — — — LYM1138 81480.3 302.5 0.26 14 — — — — — — LYM1138 81480.4 303.1 0.04 14 3843.8 0.02 16 — — — LYM1129 81504.2 320.6 0.23 21 4062.5 0.21 23 — — — LYM1129 81505.2 286.9 0.13 8 3762.5 0.10 14 — — — LYM1124 82008.2 287.5 0.26 8 — — — — — — LYM1124 82009.3 303.8 0.16 14 3875.0 0.23 17 9.62 0.05 5 LYM1124 82009.5 — — — 3750.0 0.04 13 — — — LYM1124 82010.2 288.8 0.15 9 — — — 9.50 0.16 4 LYM1111 81369.5 296.9 0.04 12 3643.8 0.14 10 9.44 0.18 3 LYM1111 81373.2 311.4 0.02 17 — — — — — — LYM1111 81373.4 285.3 0.25 7 3590.2 0.15 8 — — — LYM1111 81373.5 302.5 0.05 14 3893.8 0.01 18 — — — LYM1087 81363.2 — — — 3606.2 0.12 9 — — — LYM1087 81363.4 290.0 0.09 9 3793.8 0.03 15 — — — LYM1072 80972.1 288.8 0.14 9 3537.5 0.23 7 — — — LYM1072 80973.2 320.0 0.03 21 3956.2 0.06 19 — — — LYM1072 80973.3 283.1 0.21 7 3568.8 0.17 8 — — — LYM1072 80975.2 296.2 0.14 12 3718.8 0.05 12 — — — LYM1053 80771.4 — — — 3693.8 0.10 12 — — — LYM1053 80772.3 — — — — — — 9.94 L 9 LYM1053 80772.5 286.3 0.16 8 3775.9 0.03 14 — — — LYM1053 80774.3 303.1 0.03 14 3843.8 0.02 16 — — — LYM1042 82001.2 285.7 0.16 8 — — — — — — LYM1022 82057.2 303.8 0.03 14 3731.2 0.06 13 — — — LYM1022 82057.4 310.0 0.29 17 3831.2 0.14 16 — — — LYM1022 82061.3 289.4 0.27 9 3612.5 0.27 9 — — — LYM1017 81072.2 300.5 0.03 13 3728.6 0.05 13 — — — LYM1017 81072.3 303.2 0.02 14 3708.0 0.11 12 — — — LYM1017 81074.1 311.2 L 17 3743.8 0.05 13 — — — CONT. — 265.4 — — 3312.2 — — 9.12 — — LYM1204 81052.2 — — — 3721.4 0.26 3 — — — LYM1151 80392.4 — — — 3712.5 0.25 3 — — — LYM1151 80392.6 — — — 3787.5 0.14 5 — — — LYM1151 80394.1 301.9 0.22 6 3775.0 0.07 4 — — — LYM1151 80394.2 300.0 0.23 5 3975.0 L 10 — — — LYM1151 80394.9 — — — 3950.0 L 9 10.6 L 11 LYM1149 80387.5 310.0 0.08 9 3850.0 0.01 7 — — — LYM1149 80388.3 306.9 L 8 3818.8 0.05 6 — — — LYM1149 80388.5 — — — 3700.0 0.26 2 — — — LYM1141 80271.2 — — — 3946.4 0.09 9 — — — LYM1141 80271.3 — — — 3756.2 0.23 4 10.0 0.09 5 LYM1141 80271.5 299.4 0.05 5 3856.2 0.01 7 9.94 0.10 5 LYM1141 80272.4 298.8 0.05 5 3993.8 0.04 11 — — — LYM1139 80171.3 — — — — — — 10.2 0.24 8 LYM1139 80171.6 — — — 3712.5 0.21 3 — — — LYM1139 80172.3 — — — 3833.9 0.23 6 — — — LYM1137 80169.1 309.4 0.08 9 3987.5 L 10 — — — LYM1133 81008.1 — — — 3737.5 0.14 3 — — — LYM1131 80191.2 305.4 0.01 7 3869.6 0.04 7 — — — LYM1131 80191.3 310.6 0.07 9 4106.2 L 14 — — — LYM1131 80193.3 303.1 0.03 6 3950.0 L 9 — — — LYM1117 80266.7 — — — 3800.0 0.16 5 — — — LYM1117 80268.6 — — — 3800.0 0.12 5 — — — LYM1103 80999.1 — — — 3937.5 0.17 9 — — — LYM1103 81001.1 305.8 0.12 7 3893.8 0.16 8 — — — LYM1089 81093.1 — — 3737.5 0.20 3 — — — LYM1089 81096.4 305.6 0.01 7 3812.5 0.10 6 — — — LYM1089 81096.6 — — — 3743.8 0.26 4 — — — LYM1069 81087.1 294.4 0.16 3 3850.0 0.02 7 — — — LYM1069 81091.2 — — — 3768.8 0.15 4 — — — LYM1047 81177.2 — — — 3750.0 0.10 4 — — — LYM1014 81067.1 — — — — — — 10.2 0.11 8 LYM1014 81068.1 — — — 3871.4 0.01 7 — — — LYM1014 81069.4 292.5 0.23 3 3843.8 0.29 6 10.1 0.27 6 LYM1013 80311.1 — — — 3756.2 0.10 4 — — — LYM1013 80311.2 — — — 3950.0 0.30 9 — — — LYM1013 80313.1 296.9 0.11 4 3743.8 0.11 4 — — — LYM1013 80315.3 — — — 3793.8 0.15 5 — — — LYM1011 80942.2 — — — — — — 10.4 0.20 9 LYM1011 80945.2 — — — — — — 10.2 0.21 7 CONT. — 284.6 — — 3612.5 — — 9.50 — — LYM1236 80505.2 — — — — — — 10.2 0.23 4 LYM1236 80505.5 — — — 3787.5 0.03 20 — — — LYM1236 80506.5 279.4 0.11 11 — — — 10.4 0.02 7 LYM1227 81179.2 278.1 0.07 11 3862.5 L 23 — — — LYM1227 81179.7 305.6 0.16 22 4168.8 0.02 33 — — — LYM1213 81340.4 306.9 0.02 22 4243.8 0.07 35 — — — LYM1213 81343.3 — — — — — — 10.6 0.09 9 LYM1213 81343.4 333.8 L 33 4431.2 L 41 10.1 0.26 3 LYM1213 81343.6 — — — — — — 10.3 0.05 5 LYM1203 81750.1 283.8 0.02 13 3725.0 L 18 10.8 0.11 10 LYM1203 81751.2 — — — — — — 10.1 0.16 3 LYM1203 81751.5 — — — 3318.8 0.18 6 10.2 0.23 4 LYM1203 81752.6 — — — — — — 10.9 L 12 LYM1196 80558.4 281.2 0.04 12 3475.0 0.15 11 10.4 0.08 7 LYM1196 80561.4 — — — 3306.2 0.25 5 — — — LYM1183 81225.1 — — — 3350.0 0.28 7 — — — LYM1183 81226.1 301.9 L 20 4175.0 L 33 — — — LYM1182 81492.1 — — — 3375.0 0.10 7 — — — LYM1182 81493.2 307.5 L 23 4050.0 0.12 29 — — — LYM1182 81494.2 271.7 0.11 8 3423.2 0.06 9 10.2 0.23 4 LYM1156 81017.1 273.8 0.19 9 3781.2 0.18 20 — — — LYM1156 81017.4 273.1 0.15 9 — — — 10.1 0.16 3 LYM1132 82013.2 — — — 3287.5 0.27 5 — — — LYM1127 81669.2 275.0 0.05 10 — — — — — — LYM1127 81669.4 — — — 3331.2 0.27 6 — — — LYM1127 81671.6 308.1 L 23 4150.0 L 32 — — — LYM1094 81744.3 — — — — — — 10.4 0.08 7 LYM1094 81746.3 321.2 L 28 4150.0 L 32 — — — LYM1094 81747.2 280.6 0.03 12 3556.2 0.01 13 — — — LYM1093 81711.4 — — — 3287.5 0.26 5 — — — LYM1093 81711.6 — — — 3412.5 0.12 9 — — — LYM1093 81713.4 289.4 0.18 15 3393.8 0.25 8 — — — LYM1060 80965.3 267.5 0.15 7 3412.5 0.08 9 — — — LYM1060 80965.6 — — — — — — 10.2 0.11 5 LYM1060 80966.1 — — — — — — 10.8 0.11 10 LYM1057 81989.1 264.4 0.23 5 3306.2 0.25 5 — — — LYM1051 80331.1 276.9 0.20 10 — — — — — — LYM1051 80331.2 271.2 0.09 8 3437.5 0.05 9 — — — LYM1026 80322.5 — — — 3312.5 0.21 5 — — — LYM1026 80323.2 263.8 0.27 5 3362.5 0.11 7 — — — LYM1020 81482.3 — — — — — — 10.3 0.14 5 LYM1020 81483.1 295.0 0.26 18 4037.5 0.10 28 10.1 0.22 3 LYM1020 81484.3 312.5 L 25 3743.8 0.01 19 10.2 0.07 5 LYM1015 80090.5 296.9 L 18 3906.2 L 24 — — — CONT. — 251.0 — — 3144.4 — — 9.79 — — LYM1218 81116.6 — — — — — — 9.69 0.17 3 LYM1218 81116.7 — — — — — — 9.69 0.17 3 LYM1218 81116.8 — — — — — — 10.1 0.26 7 LYM1216 80260.2 438.8 0.01 19 5556.2 L 17 — — — LYM1210 80618.1 — — — 4925.0 0.09 4 — — — LYM1209 80480.1 — — — — — — 9.75 0.18 3 LYM1207 80247.5 — — — 4987.5 0.05 5 — — — LYM1207 80249.2 412.5 L 12 5137.5 L 8 — — — LYM1207 80250.1 — — — 4937.5 0.08 4 9.62 0.26 2 LYM1201 81104.1 388.1 0.19 5 5187.5 L 9 — — — LYM1192 81128.3 385.0 0.19 4 5087.5 0.02 7 — — — LYM1191 80380.1 381.9 0.29 3 5143.8 L 8 — — — LYM1191 80383.1 — — — 5100.0 L 7 — — — LYM1189 81099.1 386.9 0.15 5 5043.8 0.13 6 — — — LYM1176 80810.3 — — — 5087.5 0.04 7 — — — LYM1176 80811.3 — — — 5016.1 0.05 6 — — — LYM1173 80465.1 — — — 5081.2 0.14 7 — — — LYM1170 80187.4 — — — — — — 9.69 0.17 3 LYM1170 80188.3 420.6 L 14 5606.2 L 18 9.81 0.05 4 LYM1169 80606.2 — — — 4875.0 0.20 3 — — — LYM1169 80610.3 — — — — — — 9.94 0.02 5 LYM1169 80610.4 — — — 4914.3 0.13 4 — — — LYM1161 80178.4 — — — 4906.2 0.21 3 — — — LYM1158 80461.3 — — — 5031.2 0.14 6 — — — LYM1115 80134.2 — — — 5118.8 0.06 8 — — — LYM1115 80135.2 — — — 5218.8 L 10 — — — LYM1073 80981.1 — — — 4943.8 0.07 4 — — — LYM1054 80109.1 — — — — — — 9.81 0.05 4 LYM1054 80110.4 423.1 L 15 5412.5 L 14 — — — CONT. — 369.5 — — 4746.4 — — 9.45 — — LYM1223 81211.3 359.7 0.08 4 5335.7 0.02 16 — — — LYM1223 81212.3 — — — — — — 9.75 0.11 4 LYM1220 80484.2 374.6 L 8 4892.9 0.14 6 — — — LYM1220 80484.5 376.2 0.07 9 — — — 9.56 0.25 2 LYM1220 80484.6 — — — — — — 9.62 0.25 3 LYM1220 80486.1 — — — — — — 9.75 0.11 4 LYM1211 80254.3 — — — 4787.5 0.27 4 — — — LYM1211 80255.2 355.6 0.18 3 — — — — — — LYM1202 81107.2 — — — — — — 10.0 0.03 7 LYM1202 81107.3 — — — 5175.0 L 13 — — — LYM1111 81369.4 — — — 4954.2 0.14 8 9.62 0.12 3 LYM1111 81369.5 — — — 5042.0 0.15 10 — — — LYM1111 81373.2 357.5 0.03 4 5093.8 0.01 11 — — — LYM1111 81373.4 368.1 L 7 5187.5 0.02 13 — — — LYM1111 81373.6 365.6 0.10 6 — — — — — — LYM1108 80120.3 352.5 0.15 2 — — — — — — LYM1072 80975.5 — — — — — — 9.69 0.30 3 LYM1063 81348.4 — — — 5050.0 0.02 10 — — — LYM1053 80771.4 — — — — — — 9.81 0.02 5 LYM1053 80774.3 — — — 5012.5 0.03 9 — — — LYM1051 80331.3 — — — — — — 9.94 0.12 6 LYM1029 81353.6 — — — — — — 9.56 0.25 2 LYM1026 80323.2 356.9 0.01 3 — — — — — — LYM1021 81204.4 387.4 0.14 12 4930.4 0.07 7 9.69 0.30 3 LYM1017 81072.2 — — — — — — 10.2 0.11 9 LYM1017 81072.3 375.6 L 9 5450.0 L 19 — — — LYM1017 81072.4 357.5 0.26 4 4912.5 0.25 7 — — — LYM1016 80947.2 — — — 4891.1 0.28 6 — — — LYM1016 80948.2 368.8 L 7 4818.8 0.27 5 — — — LYM1016 80950.3 360.6 L 4 5075.0 0.28 10 — — — LYM1015 80088.6 361.1 0.18 5 — — — — — — LYM1015 80089.5 370.0 0.14 7 — — — — — — CONT. — 345.4 — — 4599.0 — — 9.38 — — LYM1187 82688.7 175.6 0.29 23 — — — — — — LYM1187 82689.5 — — — 1568.8 0.30 13 — — — LYM1184 82873.5 — — — 1706.2 0.17 23 — — — LYM1154 82551.2 173.8 0.25 22 — — — 9.62 0.23 5 LYM1154 82553.6 — — — 1681.2 0.06 22 — — — LYM1154 82553.9 177.5 0.03 24 2056.2 0.04 49 10.1 0.24 10 LYM1142 83549.1 162.5 0.16 14 1575.0 0.27 14 — — — LYM1123 82866.2 167.5 0.12 17 — — — — — — LYM1121 82541.3 164.4 0.13 15 1793.8 0.10 30 — — — LYM1114 82487.11 — — — 1725.0 0.04 25 — — — LYM1106 82625.4 — — — 1680.4 0.06 21 — — — LYM1105_H2 82620.2 161.9 0.22 13 1831.2 0.02 32 — — — LYM1105_H2 82621.1 — — — 1568.8 0.20 13 — — — LYM1101_H3 82615.10 158.1 0.29 11 — — — — — — LYM1086 82371.8 169.4 0.08 19 1775.0 0.02 28 — — — LYM1086 82373.3 183.4 0.22 28 1782.1 0.03 29 — — — LYM1078 82657.5 182.5 0.02 28 1918.8 0.04 39 — — — LYM1078 82659.5 167.0 0.11 17 — — — — — — LYM1074 82571.4 161.2 0.19 13 1600.0 0.18 16 — — — LYM1074 82572.2 — — — 1662.5 0.08 20 — — — LYM1058_H4 83372.5 173.4 0.13 21 1817.0 0.12 31 — — — LYM1058_H4 83372.6 184.4 0.06 29 1837.5 0.01 33 — — — LYM1058_H4 83374.1 158.9 0.28 11 — — — — — — LYM1037 82524.2 — — — 1642.0 0.24 19 — — — LYM1037 82524.3 — — — 1725.0 0.24 25 — — — LYM1033 82883.4 163.1 0.25 14 1812.5 0.03 31 — — — LYM1033 82885.5 — — — 1749.1 0.04 26 9.56 0.06 5 LYM1023 82516.1 178.1 0.06 25 1856.2 0.01 34 — — — CONT. — 142.8 — — 1383.2 — — 9.12 — — LYM1235 81117.1 — — — 4106.2 0.10 7 — — — LYM1235 81121.1 308.8 0.29 5 — — — — — — LYM1235 81121.3 — — — 3987.5 0.17 4 — — — LYM1233 80500.2 310.0 0.02 6 — — — — — — LYM1233 80500.3 310.6 0.06 6 4200.0 0.01 9 — — — LYM1233 80501.2 333.1 0.03 14 4437.5 L 15 — — — LYM1233 80503.4 — — — 4125.0 0.20 7 — — — LYM1231 80494.2 351.2 0.15 20 4400.0 0.06 14 — — — LYM1231 80496.6 323.1 0.01 10 4068.7 0.22 6 — — — LYM1230 80490.1 315.0 0.27 7 4100.0 0.03 7 — — — LYM1230 80490.2 — — — 4000.0 0.25 4 — — — LYM1230 80493.5 — — — — — — 9.75 0.10 3 LYM1223 81210.3 306.2 0.06 4 — — — — — — LYM1223 81211.3 314.4 0.03 7 4031.2 0.16 5 — — — LYM1223 81212.3 322.5 0.05 10 4150.0 0.02 8 — — — LYM1220 80484.2 324.4 0.19 11 4100.0 0.23 7 — — — LYM1220 80484.3 — — — 4181.2 0.05 9 — — — LYM1220 80484.5 333.1 L 14 4125.0 0.02 7 — — — LYM1220 80486.1 338.8 L 15 4243.8 L 10 — — — LYM1219 80510.2 325.6 L 11 4200.0 L 9 — — — LYM1219 80510.3 320.0 L 9 4250.0 L 10 — — — LYM1219 80513.1 308.2 0.05 5 4075.0 0.26 6 — — — LYM1219 80513.3 — — — 4031.2 0.16 5 — — — LYM1211 80254.3 308.8 0.23 5 — — — — — — LYM1211 80255.2 304.4 0.24 4 4081.2 0.07 6 — — — LYM1202 81107.2 303.1 0.21 3 — — — — — — LYM1202 81108.1 330.0 L 12 4131.2 0.02 7 — — — LYM1202 81109.2 310.0 0.26 6 3993.8 0.21 4 — — — LYM1202 81109.3 — — — — — — 9.62 0.30 2 LYM1109 80123.1 315.6 L 8 4231.2 L 10 — — — LYM1109 80123.2 300.6 0.27 2 3968.8 0.26 3 — — — LYM1109 80125.2 309.4 0.03 5 4050.0 0.06 5 — — — LYM1108 80116.1 — — — 4175.0 0.07 9 — — — LYM1108 80119.3 301.9 0.20 3 — — — — — — LYM1102 80994.1 325.6 L 11 4137.5 0.04 8 — — — LYM1097 80983.1 — — — 4125.0 0.20 7 — — — LYM1063 81347.1 328.1 0.22 12 4287.5 0.21 11 — — — LYM1063 81348.2 — — — 4112.5 0.02 7 — — — LYM1021 81204.4 309.4 0.02 5 4037.5 0.17 5 — — — LYM1021 81208.2 314.4 0.01 7 3993.8 0.15 4 — — — LYM1016 80948.2 — — — — — — 9.88 0.29 5 LYM1016 80950.2 315.0 L 7 4037.5 0.21 5 — — — LYM1010 81062.1 313.1 0.02 7 4081.2 0.07 6 — — — LYM1010 81062.2 — — — 4000.0 0.14 4 — — — LYM1010 81063.4 326.9 0.02 11 4068.7 0.08 6 — — — LYM1010 81064.1 305.0 0.19 4 — — — — — — CONT. — 293.4 — — 3846.4 — — 9.45 — — LYM1107 82649.3 — — — 1692.9 0.39 4 — — — CONT. — — — — 1628.6 — — — — — Table 113: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.

TABLE 114 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Plot Coverage Rosette Area Rosette Diameter [cm²] [cm²] [cm] Gene P- % P- % P- % Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1239 82026.4 53.3 0.21 21 6.67 0.21 21 4.46 0.10 8 LYM1153 83265.5 48.0 0.04 9 5.99 0.04 9 — — — LYM1153 83269.5 55.4 L 26 6.92 L 26 4.49 L 9 LYM1129 81505.5 46.7 0.11 6 5.84 0.11 6 — — — LYM1127 81671.6 45.9 0.23 5 5.74 0.23 5 — — — LYM1125 83042.1 47.6 0.05 8 5.95 0.05 8 4.27 0.28 3 LYM1125 83042.3 47.6 0.06 8 5.95 0.06 8 4.30 0.23 4 LYM1125 83042.5 49.5 L 13 6.18 L 13 4.36 0.02 5 LYM1097 80984.1 — — — — — — 4.25 0.15 3 LYM1093 81711.2 — — — — — — 4.32 0.23 4 LYM1093 81713.4 48.5 0.13 10 6.06 0.13 10 — — — LYM1088 83558.5 45.9 0.26 5 5.74 0.26 5 — — — LYM1085 82683.2 — — — — — — 4.24 0.18 3 LYM1075 83047.8 47.7 0.17 9 5.96 0.17 9 — — — LYM1075 83049.1 45.9 0.24 5 5.74 0.24 5 4.26 0.13 3 LYM1070 82533.4 48.5 0.02 11 6.07 0.02 11 4.26 0.13 3 LYM1035 83264.6 47.1 0.10 7 5.88 0.10 7 — — — CONT. — 43.9 — — 5.49 — — 4.13 — — LYM1229 81574.1 60.3 0.04 28 7.54 0.04 28 4.59 0.04 13 LYM1229 81575.3 63.4 0.03 34 7.92 0.03 34 4.72 0.02 16 LYM1229 81576.5 59.4 0.03 26 7.43 0.03 26 4.69 0.02 15 LYM1221 81714.4 54.9 0.14 16 6.86 0.14 16 4.59 0.04 13 LYM1221 81716.1 52.9 0.25 12 6.61 0.25 12 4.36 0.19 7 LYM1221 81718.1 — — — — — — 4.30 0.29 6 LYM1212 80778.2 — — — — — — 4.34 0.22 7 LYM1195 81918.1 62.1 0.02 32 7.76 0.02 32 4.68 0.02 15 LYM1195 81919.3 53.8 0.19 14 6.73 0.19 14 4.57 0.05 12 LYM1195 81919.6 — — — — — — 4.39 0.15 8 LYM1194 81623.1 55.6 0.21 18 6.95 0.21 18 4.52 0.22 11 LYM1194 81624.2 53.0 0.24 12 6.63 0.24 12 4.52 0.06 11 LYM1194 81624.4 — — — — — — 4.31 0.30 6 LYM1175 82018.2 53.3 0.22 13 6.67 0.22 13 4.35 0.21 7 LYM1146 81488.2 54.6 0.15 16 6.83 0.15 16 4.59 0.04 13 LYM1138 81477.5 — — — — — — 4.48 0.11 10 LYM1138 81480.1 — — — — — — 4.56 0.23 12 LYM1129 81504.2 59.3 0.21 26 7.41 0.21 26 4.80 0.01 18 LYM1124 82008.2 56.5 0.23 20 7.06 0.23 20 4.54 0.14 11 LYM1124 82009.3 60.9 0.02 29 7.62 0.02 29 4.76 0.01 17 LYM1124 82009.5 53.4 0.23 13 6.68 0.23 13 4.40 0.15 8 LYM1124 82010.2 58.4 0.05 24 7.30 0.05 24 4.62 0.04 14 LYM1111 81369.5 — — — — — — 4.44 0.27 9 LYM1111 81373.5 55.1 0.18 17 6.89 0.18 17 4.44 0.12 9 LYM1072 80973.2 — — — — — — 4.38 0.16 8 LYM1053 80772.3 57.4 0.06 22 7.18 0.06 22 4.55 0.05 12 LYM1053 80772.5 — — — — — — 4.40 0.18 8 LYM1042 82001.2 — — — — — — 4.49 0.22 10 LYM1022 82057.2 — — — — — — 4.42 0.13 9 LYM1022 82057.4 58.6 0.05 24 7.32 0.05 24 4.64 0.03 14 LYM1022 82061.3 58.7 0.17 24 7.34 0.17 24 4.65 0.18 14 LYM1017 81072.3 53.6 0.20 14 6.70 0.20 14 4.48 0.08 10 CONT. — 47.2 — — 5.90 — — 4.07 — — LYM1204 81054.3 — — — — — — 4.56 0.23 3 LYM1151 80394.1 53.4 0.14 8 6.67 0.14 8 4.58 0.14 4 LYM1151 80394.9 — — — — — — 4.55 0.23 3 LYM1141 80271.3 54.1 0.14 10 6.76 0.14 10 4.60 0.24 4 LYM1141 80271.5 60.9 0.08 24 7.61 0.08 24 4.81 0.17 9 LYM1139 80171.3 64.3 L 31 8.04 L 31 5.12 L 16 LYM1117 80266.7 53.0 0.12 8 6.62 0.12 8 4.65 0.11 6 LYM1069 81087.1 57.2 L 16 7.14 L 16 4.83 0.19 10 LYM1011 80942.2 57.9 L 18 7.24 L 18 4.77 0.02 8 LYM1011 80945.2 53.9 0.28 9 6.74 0.28 9 — — — CONT. — 49.3 — — 6.16 — — 4.40 — — LYM1236 80506.5 75.4 0.06 22 9.43 0.06 22 5.13 0.24 10 LYM1227 81179.5 72.4 0.11 17 9.04 0.11 17 5.19 0.04 11 LYM1213 81343.4 73.3 0.08 18 9.16 0.08 18 5.14 0.07 10 LYM1213 81343.6 71.9 0.24 16 8.99 0.24 16 5.06 0.18 8 LYM1203 81750.1 76.0 0.04 23 9.50 0.04 23 5.11 0.08 9 LYM1203 81751.2 71.2 0.25 15 8.90 0.25 15 — — — LYM1203 81751.5 78.5 0.02 27 9.81 0.02 27 5.26 0.03 12 LYM1203 81752.6 71.0 0.15 15 8.88 0.15 15 5.05 0.14 8 LYM1196 80558.4 79.8 0.02 29 9.98 0.02 29 5.33 0.02 14 LYM1196 80558.5 68.2 0.29 10 8.52 0.29 10 4.96 0.23 6 LYM1182 81494.2 71.3 0.13 15 8.92 0.13 15 5.08 0.09 8 LYM1156 81017.4 70.6 0.24 14 8.82 0.24 14 5.00 0.17 7 LYM1127 81669.2 74.5 0.06 20 9.32 0.06 20 5.22 0.03 11 LYM1094 81744.3 72.1 0.11 16 9.01 0.11 16 5.02 0.13 7 LYM1094 81746.3 68.2 0.30 10 8.53 0.30 10 4.96 0.22 6 LYM1093 81713.4 70.4 0.25 14 8.80 0.25 14 — — — LYM1060 80965.3 70.7 0.16 14 8.84 0.16 14 5.00 0.16 7 LYM1060 80965.4 79.2 0.08 28 9.90 0.08 28 5.30 0.11 13 LYM1060 80965.6 74.2 0.06 20 9.27 0.06 20 5.12 0.07 9 LYM1057 81989.1 — — — — — — 4.98 0.18 6 LYM1051 80331.2 68.9 0.24 11 8.61 0.24 11 — — — LYM1026 80325.3 73.7 0.15 19 9.21 0.15 19 5.04 0.15 8 LYM1020 81482.3 73.2 0.11 18 9.15 0.11 18 5.11 0.08 9 LYM1020 81483.1 — — — — — — 4.93 0.27 5 LYM1020 81484.3 74.0 0.07 19 9.25 0.07 19 5.26 0.03 12 LYM1015 80089.4 72.8 0.17 17 9.09 0.17 17 — — — CONT. — 62.0 — — 7.75 — — 4.68 — — LYM1218 81116.6 37.9 0.02 14 4.74 0.02 1 4 3.98 0.02 9 LYM1207 80247.4 35.1 0.17 6 4.39 0.17 6 3.83 0.07 5 LYM1207 80249.2 44.2 0.19 33 5.52 0.19 33 4.33 0.17 18 LYM1201 81104.1 39.7 L 20 4.96 L 20 3.99 0.15 9 LYM1201 81104.4 36.8 0.13 11 4.60 0.13 11 3.90 0.02 7 LYM1191 80380.1 35.3 0.20 6 4.41 0.20 6 3.83 0.08 5 LYM1191 80381.4 39.5 L 19 4.93 L 19 3.91 0.06 7 LYM1189 81099.1 40.6 0.08 22 5.08 0.08 22 4.08 L 12 LYM1176 80810.3 37.5 0.03 13 4.69 0.03 13 3.91 0.06 7 LYM1176 80811.3 34.7 0.27 4 4.33 0.27 4 — — — LYM1173 80465.1 36.1 0.06 9 4.52 0.06 9 3.87 0.04 6 LYM1170 80188.3 37.4 0.20 13 4.68 0.20 13 3.93 0.04 7 LYM1161 80179.1 47.9 0.04 44 5.99 0.04 44 4.34 0.03 19 LYM1158 80461.5 36.2 0.04 9 4.53 0.04 9 3.94 0.13 8 LYM1115 80135.2 — — — — — — 3.85 0.12 5 LYM1054 80110.4 43.3 0.01 31 5.41 0.01 31 4.26 L 16 CONT. — 33.2 — — 4.15 — — 3.66 — — LYM1220 80484.2 45.6 0.30 15 5.71 0.30 15 4.39 0.13 8 LYM1220 80484.3 48.4 0.12 22 6.05 0.12 22 4.51 0.15 11 LYM1220 80484.5 50.6 0.09 27 6.32 0.09 27 4.56 0.21 12 LYM1220 80486.1 55.1 0.28 39 6.89 0.28 39 — — — LYM1211 80255.2 43.9 0.21 10 5.49 0.21 10 4.32 0.15 6 LYM1202 81107.3 43.1 0.30 8 5.39 0.30 8 4.22 0.22 4 LYM1111 81373.4 44.2 0.08 11 5.53 0.08 11 4.35 L 7 LYM1111 81373.6 48.9 0.19 23 6.12 0.19 23 4.56 0.22 12 LYM1108 80120.3 43.6 0.27 10 5.45 0.27 10 4.32 0.06 6 LYM1053 80772.5 41.8 0.16 5 5.22 0.16 5 — — — LYM1051 80331.1 43.3 0.09 9 5.42 0.09 9 4.40 L 8 LYM1021 81204.4 42.0 0.22 6 5.25 0.22 6 4.25 0.03 5 LYM1017 81072.2 51.4 L 29 6.43 L 29 4.62 L 14 LYM1017 81072.3 49.4 L 24 6.18 L 24 4.71 L 16 LYM1017 81076.2 — — — — — — 4.35 0.24 7 LYM1016 80947.2 41.8 0.07 5 5.22 0.07 5 4.22 0.05 4 LYM1016 80948.2 46.0 L 16 5.76 L 16 4.36 0.15 7 LYM1016 80948.3 43.4 0.26 9 5.42 0.26 9 4.21 0.26 3 LYM1016 80950.3 45.1 0.14 13 5.63 0.14 13 4.35 L 7 LYM1015 80089.5 46.4 0.13 17 5.80 0.13 17 4.36 0.02 7 CONT. — 39.8 — — 4.97 — — 4.07 — — LYM1187 82688.7 47.8 0.12 17 5.98 0.13 14 4.20 0.10 8 LYM1187 82688.9 — — — — — — 4.45 0.22 14 LYM1184 82873.5 — — — — — — 4.29 0.12 10 LYM1154 82551.2 57.7 0.01 41 7.21 0.02 37 4.61 L 19 LYM1154 82553.9 62.9 0.06 54 7.87 0.08 50 4.78 0.04 23 LYM1142 83549.1 47.2 0.14 16 5.90 0.15 12 4.09 0.23 5 LYM1121 82541.3 55.0 0.09 35 6.88 0.12 31 4.55 0.08 17 LYM1114 82487.11 48.3 0.13 18 6.03 0.14 15 4.38 0.04 13 LYM1106 82625.4 47.5 0.13 16 5.94 0.12 13 4.22 0.07 9 LYM1105_H2 82620.2 53.5 0.01 31 6.69 L 27 4.44 L 14 LYM1086 82371.8 51.6 0.03 26 6.45 0.02 23 4.44 0.01 14 LYM1086 82373.3 51.0 0.08 25 6.37 0.09 21 4.26 0.18 10 LYM1078 82657.5 56.5 0.06 38 7.06 0.08 34 4.51 0.12 16 LYM1078 82659.2 46.0 0.22 13 5.75 0.24 9 — — — LYM1074 82570.1 46.0 0.26 13 — — — 4.12 0.20 6 LYM1074 82570.2 46.7 0.17 14 5.83 0.19 11 4.07 0.27 5 LYM1074 82571.4 — — — — — — 4.15 0.26 7 LYM1074 82572.2 49.2 0.07 20 6.15 0.07 17 4.34 0.02 11 LYM1058_H4 83372.6 52.3 0.02 28 6.53 0.02 24 4.42 L 14 LYM1037 82524.3 47.3 0.27 16 — — — — — — LYM1033 82883.4 54.7 0.03 34 6.84 0.04 30 4.56 0.05 17 LYM1023 82516.1 56.7 L 39 7.09 L 35 4.57 L 17 CONT. — 40.8 — — 5.26 — — 3.89 — — LYM1235 81121.1 30.3 0.20 14 3.79 0.20 14 — — — LYM1235 81121.3 27.8 0.28 5 3.47 0.28 5 — — — LYM1233 80500.2 31.0 0.03 17 3.88 0.03 17 3.70 L 12 LYM1233 80501.2 29.5 0.03 11 3.69 0.03 11 3.43 0.04 4 LYM1233 80502.5 28.8 0.17 9 3.60 0.17 9 — — — LYM1233 80503.4 35.3 0.16 33 4.41 0.16 33 3.79 0.14 15 LYM1231 80494.2 31.9 L 20 3.99 L 20 3.67 L 11 LYM1231 80496.2 33.4 L 26 4.17 L 26 3.77 0.19 14 LYM1231 80496.6 31.1 L 17 3.88 L 17 3.55 0.05 8 LYM1230 80493.5 30.1 0.18 14 3.76 0.18 14 3.62 0.09 10 LYM1220 80484.2 28.9 0.07 9 3.62 0.07 9 — — — LYM1220 80484.3 30.4 0.08 15 3.80 0.08 15 3.48 0.25 5 LYM1220 80484.5 30.6 0.06 16 3.83 0.06 16 3.53 L 7 LYM1220 80484.6 — — — — — — 3.42 0.04 4 LYM1220 80486.1 39.4 0.25 49 4.93 0.25 49 4.00 0.23 21 LYM1211 80255.2 — — — — — — 3.40 0.13 3 LYM1202 81107.2 30.5 0.13 15 3.81 0.13 15 3.50 0.05 6 LYM1202 81108.1 32.9 0.01 24 4.11 0.01 24 3.67 L 11 LYM1202 81109.2 29.8 0.02 13 3.73 0.02 13 3.55 L 8 LYM1202 81109.3 28.4 0.15 7 3.55 0.15 7 3.38 0.15 2 LYM1109 80123.1 33.7 L 27 4.21 L 27 3.80 0.09 15 LYM1108 80120.1 — — — — — — 3.38 0.28 2 LYM1108 80120.3 28.9 0.27 9 3.62 0.27 9 3.54 0.25 7 LYM1063 81347.1 30.2 0.23 14 3.77 0.23 14 — — — LYM1021 81204.4 28.6 0.10 8 3.58 0.10 8 3.47 L 5 LYM1016 80948.2 29.2 0.05 10 3.65 0.05 10 3.44 0.03 4 LYM1016 80950.3 28.3 0.15 7 3.54 0.15 7 3.43 0.10 4 LYM1010 81062.1 30.5 0.02 15 3.82 0.02 15 3.43 0.04 4 CONT. — 26.5 — — 3.31 — — 3.30 — — Table 114: ″CONT.″—Control; ″Ave.″—Average; ″% Incr.″ = % increment; ″p-val.″—p-value, L-p < 0.01.

TABLE 115 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of Leaf RGR Of Plot RGR Of Rosette Number Coverage Diameter P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1239 82025.4 0.627  0.21 27 — — — — — — LYM1239 82026.4 — — —  6.74 0.17 24 0.391 0.28 11 LYM1153 83267.2 — — —  6.69 0.20 23 — — — LYM1153 83267.4 — — —  6.63 0.21 22 — — — LYM1153 83267.5 0.619  0.21 25 — — — — — — LYM1153 83269.5 — — —  6.93 0.12 27 — — — LYM1127 81669.4 — — —  6.51 0.27 19 — — — CONT. — 0.495 — —  5.46 — — 0.353 — — LYM1229 81574.1 — — —  7.55 0.20 26 — — — LYM1229 81575.3 — — —  7.90 0.12 32 — — — LYM1229 81576.5 — — —  7.41 0.23 24 — — — LYM1195 81918.1 — — —  7.81 0.14 31 — — — LYM1129 81504.2 — — —  7.48 0.22 25 — — — LYM1124 82009.3 — — —  7.72 0.16 29 0.417 0.25 18 LYM1124 82010.2 — — —  7.34 0.26 23 — — — LYM1022 82057.4 — — —  7.43 0.23 24 — — — LYM1022 82061.3 — — —  7.36 0.26 23 — — — CONT. — — — —  5.98 — — 0.353 — — LYM1151 80394.9 0.650  0.07 22 — — — — — — LYM1141 80271.5 — — —  5.99 0.12 21 — — — LYM1139 80171.3 — — —  6.39 0.03 30 0.394 0.03 16 LYM1069 81087.1 — — —  5.73 0.21 16 0.375 0.16 10 LYM1011 80942.2 — — —  5.84 0.16 18 0.371 0.22  9 CONT. — 0.535 — —  4.93 — — 0.340 — — LYM1236 80506.5 — — —  9.65 0.27 21 — — — LYM1203 81750.1 — — —  9.64 0.27 21 — — — LYM1203 81751.5 — — — 10.0 0.18 26 — — — LYM1196 80558.4 — — — 10.2 0.14 29 — — — LYM1127 81670.2 0.767  0.25 20 — — — — — — LYM1060 80965.3 0.752  0.30 18 — — — — — — LYM1060 80965.4 — — — 10.3 0.14 29 — — — CONT. — 0.638 — —  7.96 — — — — — LYM1218 81116.6 — — —  4.77 0.27 14 — — — LYM1216 80260.2 — — —  4.83 0.27 16 — — — LYM1209 80480.1 0.678  0.30 17 — — — — — — LYM1207 80247.4 — — — — — — 0.348 0.27  9 LYM1207 80249.2 — — —  5.53 0.02 32 0.372 0.06 16 LYM1201 81104.1 — — —  5.00 0.14 20 — — — LYM1191 80381.4 — — —  4.93 0.17 18 — — — LYM1189 81099.1 — — —  5.08 0.10 22 — — — LYM1170 80188.3 — — — — — — 0.346 0.28  8 LYM1169 80610.3 0.701  0.20 21 — — — — — — LYM1161 80179.1 — — —  6.00 L 44 0.362 0.09 13 LYM1054 80110.4 — — —  5.41 0.03 30 0.362 0.10 13 CONT. — 0.579 — —  4.17 — — 0.320 — — LYM1220 80484.2 — — —  5.77 0.19 16 0.390 0.09 12 LYM1220 80484.3 — — —  6.05 0.07 22 0.384 0.15 10 LYM1220 80484.5 — — —  6.39 0.03 29 0.404 0.03 16 LYM1220 80486.1 — — —  6.84 L 38 0.388 0.23 12 LYM1111 81369.4 0.630  0.24 17 — — — — — — LYM1111 81373.6 — — —  6.14 0.06 23 0.401 0.05 15 LYM1108 80120.3 — — — — — — 0.385 0.14 11 LYM1102 80993.4 0.636  0.27 18 — — — — — — LYM1053 80771.4 0.642  0.21 19 — — — — — — LYM1053 80774.3 — — — — — — 0.378 0.24  9 LYM1051 80331.1 — — — — — — 0.375 0.28  8 LYM1021 81207.3 0.638  0.25 19 — — — — — — LYM1017 81072.2 — — —  6.50 0.01 31 0.398 0.04 14 LYM1017 81072.3 — — —  6.17 0.05 24 0.410 0.01 18 LYM1017 81076.2 — — —  5.70 0.24 15 0.382 0.17 10 LYM1016 80948.2 — — —  5.75 0.19 16 — — — LYM1016 80950.3 — — —  5.68 0.23 14 0.376 0.25  8 LYM1015 80089.4 — — —  5.77 0.19 16 0.380 0.24  9 LYM1015 80089.5 — — —  5.85 0.15 18 0.397 0.05 14 CONT. — 0.537 — —  4.97 — — 0.348 — — LYM1187 82688.9 — — —  6.26 0.28 24 0.397 0.07 28 LYM1184 82873.5 — — —  6.29 0.26 24 0.388 0.09 25 LYM1154 82551.2 — — —  7.32 0.05 45 0.400 0.05 29 LYM1154 82553.9 0.625  0.27 23  7.91 0.02 57 0.412 0.03 33 LYM1123 82866.2 — — —  6.75 0.14 34 — — — LYM1121 82541.3 — — —  6.94 0.09 37 0.394 0.08 27 LYM1118 82534.7 — — —  6.94 0.10 37 0.379 0.15 22 LYM1114 82487.11 — — — — — — 0.383 0.12 23 LYM1106 82625.4 — — — — — — 0.380 0.12 22 LYM1105_H2 82620.2 — — —  6.79 0.12 34 0.395 0.07 27 LYM1101_H3 82615.10 — — — — — — 0.376 0.17 21 LYM1101_H3 82615.6 — — — — — — 0.371 0.19 19 LYM1086 82371.6 — — — — — — 0.372 0.19 20 LYM1086 82371.8 — — —  6.49 0.19 28 0.384 0.10 24 LYM1086 82373.3 — — —  6.27 0.26 24 — — — LYM1078 82657.5 — — —  7.09 0.07 40 0.375 0.15 21 LYM1078 82657.9 0.634  0.27 25 — — — — — — LYM1074 82571.4 — — — — — — 0.360 0.27 16 LYM1074 82572.2 — — —  6.31 0.24 25 0.396 0.06 27 LYM1058_H4 83372.5 — — —  6.32 0.28 25 — — — LYM1058_H4 83372.6 — — —  6.50 0.18 29 0.367 0.21 18 LYM1037 82524.3 — — — — — — 0.363 0.26 17 LYM1033 82883.4 — — —  6.92 0.10 37 0.393 0.07 27 LYM1033 82885.5 — — — — — — 0.363 0.26 17 LYM1023 82516.1 — — —  7.11 0.07 41 0.388 0.09 25 CONT. — 0.507 — —  5.05 — — 0.311 — — LYM1235 81121.1 — — —  3.79 0.20 17 — — — LYM1233 80500.2 — — —  3.82 0.19 18 0.314 0.05 11 LYM1233 80501.2 — — — — — — 0.308 0.12  9 LYM1233 80503.4 — — —  4.34 0.02 34 0.326 0.02 15 LYM1231 80494.2 — — —  3.94 0.10 22 0.309 0.08  9 LYM1231 80496.2 — — —  4.12 0.04 27 0.312 0.10 10 LYM1231 80496.6 — — —  3.81 0.19 17 0.303 0.22  7 LYM1230 80493.5 — — — — — — 0.300 0.30  6 LYM1223 81211.4 — — — — — — 0.301 0.27  6 LYM1220 80484.3 — — —  3.69 0.29 14 — — — LYM1220 80484.5 — — —  3.80 0.19 17 0.313 0.05 11 LYM1220 80486.1 — — —  4.82 L 49 0.326 0.04 15 LYM1202 81107.2 — — —  3.72 0.26 15 — — — LYM1202 81108.1 — — —  4.07 0.06 26 0.317 0.04 12 LYM1202 81109.2 — — —  3.70 0.29 14 0.313 0.07 10 LYM1109 80123.1 — — —  4.11 0.05 27 0.322 0.02 14 LYM1109 80125.7 — — — — — — 0.301 0.28  6 LYM1108 80120.3 — — — — — — 0.302 0.23  7 LYM1063 81347.1 — — —  3.71 0.28 14 — — — LYM1021 81204.4 — — — — — — 0.309 0.10  9 LYM1016 80950.3 — — — — — — 0.299 0.30  5 LYM1010 81062.1 — — —  3.79 0.20 17 — — — LYM1010 81063.4 — — —  4.05 0.09 25 0.316 0.08 11 CONT. — — — —  3.24 — — 0.284 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

Example 21 Evaluating Transgenic Arabidopsis Under Normal Conditions Using Seedling Analysis [TC-T2 and TC-T1 Assays]

Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing ½ MS media (15 mM N). For experiments performed in T₂ lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T₁ lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T₁ lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.

Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) and located in a darkroom, was used for capturing images of plantlets sawn in agar plates.

The image capturing process was repeated every 3-4 days starting at day 1 till day 10 (see for example the images in FIGS. 3A-F). An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which was developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb(dot)nih(dot)gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).

Seedling analysis—Using the digital analysis seedling data was calculated, including leaf area, root coverage and root length.

The relative growth rate for the various seedling parameters was calculated according to the following formulas XIII (RGR leaf area), XXVIII (RGR root coverage) and VI (RGR root length) as described above.

At the end of the experiment, plantlets were removed from the media and weighed for the determination of plant fresh weight. Plantlets were then dried for 24 hours at 60° C., and weighed again to measure plant dry weight for later statistical analysis. The fresh and dry weights were provided for each Arabidopsis plant. Growth rate was determined by comparing the leaf area coverage, root coverage and root length, between each couple of sequential photographs, and results were used to resolve the effect of the gene introduced on plant vigor under optimal conditions. Similarly, the effect of the gene introduced on biomass accumulation, under optimal conditions, was determined by comparing the plants' fresh and dry weight to that of control plants (containing an empty vector or the GUS reporter gene under the same promoter). From every construct created, 3-5 independent transformation events were examined in replicates.

Statistical analyses—To identify genes conferring significantly improved plant vigor or enlarged root architecture, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. To evaluate the effect of a gene event over a control the data was analyzed by Student's t-test and the p value was calculated. Results were considered significant if p<0.1. The JMP statistics software package is used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Experimental Results:

Tables 116-118 summarize the observed phenotypes of transgenic plants expressing the gene constructs using the TC -T2 Assays.

The genes presented in Table 116 showed a significant improvement as they produced larger plant biomass (plant fresh and dry weight) in T2 generation when grown under normal growth conditions, compared to control plants. The genes were cloned under the regulation of a constitutive promoter (At6669, SEQ ID NO: 8190).

The evaluation of each gene was carried out by testing the performance of different number of events. Some of the genes were evaluated in more than one tissue culture assay. The results obtained in these second experiments were significantly positive as well.

TABLE 116 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Dry Weight [mg] Fresh Weight [mg] Gene Name Event # Ave. P-Val. % Incr. Ave. P-Val. % Incr. LYM1185 81024.4 — — — 136.8 0.28 19 LYM1155 82890.4 — — — 136.5 0.24 19 CONT. — — — — 114.7 — — LYM1237 83878.2 4.65 0.06 70 100.3 0.09 46 LYM1237 83880.3 3.55 0.16 30 78.4 0.08 14 LYM1237 83880.5 — — — 78.2 0.16 14 LYM1237 83882.1 5.95 L 117 114.1 0.03 66 LYM1237 83882.2 5.30 0.01 94 107.7 0.01 57 LYM1230 80489.3 4.35 0.14 59 92.5 0.16 35 LYM1230 80490.1 4.95 L 81 108.6 0.05 58 LYM1230 80490.2 5.15 L 88 98.4 L 43 LYM1230 80493.5 3.58 0.07 31 81.1 0.03 18 LYM1230 80493.7 3.58 0.11 31 77.0 0.23 12 LYM1225 82566.1 4.33 0.15 58 98.2 0.02 43 LYM1225 82566.2 3.75 0.24 37 86.7 0.05 26 LYM1225 82566.6 4.57 0.02 67 102.2 0.04 49 LYM1225 82566.8 3.73 0.06 36 — — — LYM1186 83933.1 5.23 L 91 121.6 0.05 77 LYM1186 83933.2 3.65 0.11 33 83.1 0.19 21 LYM1186 83933.3 5.85 L 114 109.2 L 59 LYM1186 83933.4 4.53 0.02 65 87.7 0.15 28 LYM1186 83937.1 5.25 0.03 92 97.5 0.10 42 LYM1185 81023.4 4.75 0.09 74 91.6 0.09 33 LYM1185 81024.3 5.20 L 90 94.4 L 37 LYM1185 81025.2 3.75 0.06 37 86.8 0.16 26 LYM1185 81025.3 3.92 0.04 43 78.9 0.07 15 LYM1172 82555.3 5.25 L 92 94.6 0.06 38 LYM1172 82555.5 4.28 0.18 56 93.7 0.19 37 LYM1172 82555.6 4.28 0.06 56 95.0 0.03 39 LYM1172 82558.10 5.22 0.02 91 94.2 0.05 37 LYM1172 82558.3 4.38 0.06 60 91.2 0.02 33 LYM1091_H5 83925.6 5.12 L 87 101.0 L 47 LYM1091_H5 83927.3 3.70 0.13 35 75.0 0.28 9 LYM1091_H5 83927.4 4.60 L 68 105.5 L 54 LYM1091_H5 83927.5 4.53 0.04 65 114.6 0.05 67 LYM1091_H5 83927.6 4.45 0.07 63 99.3 0.02 45 LYM1024 82475.4 4.17 0.04 53 93.2 0.11 36 LYM1024 82477.2 — — — 76.4 0.19 11 LYM1024 82479.3 4.50 0.03 64 88.1 0.08 28 CONT. — 2.74 — — 68.6 — — LYM1186 83933.1 2.77 0.25 12 53.4 0.18 15 LYM1186 83933.2 4.55 L 84 79.1 0.02 70 LYM1186 83933.3 3.67 0.02 48 80.2 0.02 72 LYM1186 83933.4 3.17 0.02 28 56.3 0.08 21 LYM1186 83937.1 4.60 0.02 86 100.2 0.03 115 LYM1076_H4 83975.2 3.28 L 32 58.3 0.18 25 LYM1076_H4 83976.1 3.25 0.07 31 72.9 L 57 LYM1076_H4 83976.3 2.73 0.09 10 59.4 0.03 28 LYM1076_H4 83977.3 3.73 0.04 51 74.3 0.05 60 LYM1076_H4 83977.5 4.85 0.14 96 95.1 0.12 104 CONT. — 2.48 — — 46.5 — — LYM1161 80178.3 — — — 78.3 0.20 14 LYM1161 80178.4 4.98 0.29 32 101.8 0.09 48 LYM1161 80179.1 5.83 0.25 55 115.6 0.14 68 LYM1157 82231.2 — — — 74.5 0.27 9 LYM1157 82231.4 6.95 L 85 132.0 L 92 LYM1157 82232.2 5.62 0.04 50 109.3 0.05 59 LYM1132 82013.1 — — — 89.8 0.02 31 LYM1132 82013.4 — — — 81.5 0.13 19 LYM1132 82017.6 4.68 0.22 24 89.0 0.04 30 LYM1124 82008.4 — — — 95.7 0.07 39 LYM1115 80133.1 4.20 0.25 12 80.8 0.13 18 LYM1115 80134.2 4.33 0.14 15 89.4 L 30 LYM1115 80135.2 6.58 0.20 75 129.1 0.13 88 LYM1085 82683.2 6.98 0.24 85 134.6 0.21 96 LYM1085 82683.3 4.70 0.20 25 91.7 0.13 34 LYM1085 82685.1 4.70 0.10 25 89.9 L 31 LYM1085 82685.12 4.55 0.28 21 95.0 L 38 LYM1082 82481.2 — — — 80.4 0.24 17 LYM1082 82481.4 — — — 80.4 0.22 17 LYM1082 82482.5 — — — 76.0 0.17 11 LYM1073 80978.3 5.38 L 43 93.3 0.05 36 LYM1073 80978.4 5.03 0.03 34 101.6 0.02 48 LYM1073 80980.3 — — — 91.2 0.15 33 LYM1073 80981.1 4.55 0.22 21 90.0 0.17 31 LYM1054 80106.2 — — — 76.1 0.21 11 LYM1054 80108.2 5.60 0.01 49 — — — LYM1054 80110.4 5.65 0.20 50 120.4 0.09 75 LYM1044 82612.2 5.70 0.07 51 115.7 0.16 69 LYM1044 82613.2 — — — 82.1 0.07 20 LYM1044 82613.4 4.80 0.06 28 88.4 0.03 29 LYM1044 82614.1 — — — 79.3 0.25 15 LYM1042 82000.2 — — — 88.5 0.10 29 LYM1042 82001.2 — — — 85.5 0.10 25 LYM1029 81349.4 — — — 86.2 0.04 26 LYM1029 81351.4 4.90 0.13 30 98.2 0.03 43 LYM1029 81353.1 — — — 84.4 0.04 23 LYM1029 81353.3 — — — 97.9 0.10 43 CONT. — 3.76 — — 68.6 — — LYM1229 81574.1 5.30 L 75 107.4 L 95 LYM1229 81574.2 4.00 0.18 32 80.3 0.07 46 LYM1229 81575.1 4.47 0.01 48 116.8 0.23 112 LYM1229 81575.3 5.50 L 82 112.5 L 104 LYM1229 81576.5 — — — 79.4 0.23 44 LYM1227 81179.1 4.28 0.02 41 76.6 L 39 LYM1227 81179.2 4.40 0.18 45 106.6 0.02 94 LYM1227 81179.7 4.68 0.13 55 97.9 0.09 78 LYM1227 81180.2 5.95 L 97 155.0 0.02 181 LYM1219 80509.2 5.77 L 91 100.3 0.04 82 LYM1219 80510.3 4.12 L 36 80.7 L 46 LYM1219 80510.4 5.80 0.06 92 154.2 0.24 180 LYM1219 80513.2 5.03 0.01 66 102.3 L 86 LYM1218 81114.1 4.22 L 40 75.6 0.03 37 LYM1218 81114.2 7.30 L 141 176.2 L 220 LYM1218 81116.6 3.73 0.06 23 — — — LYM1218 81116.7 6.58 0.13 117 168.7 0.12 206 LYM1218 81116.8 6.10 L 102 176.9 0.06 221 LYM1216 80256.7 6.00 L 98 115.0 L 109 LYM1216 80259.1 4.72 0.03 56 125.7 0.16 128 LYM1216 80259.2 4.47 L 48 78.5 0.02 43 LYM1216 80260.1 6.58 L 117 116.0 L 111 LYM1212 80777.1 3.47 0.29 15 96.9 0.14 76 LYM1212 80779.1 5.30 L 75 94.7 L 72 LYM1210 80617.1 — — — 80.2 0.29 46 LYM1210 80618.2 4.15 0.02 37 80.5 0.07 46 LYM1210 80618.3 5.70 0.03 88 119.5 0.01 117 LYM1210 80620.2 5.62 0.02 86 134.2 L 144 LYM1210 80620.5 4.72 0.06 56 105.0 L 91 LYM1209 80479.1 5.95 L 97 144.4 0.10 162 LYM1209 80480.1 7.17 L 137 136.7 L 148 LYM1209 80482.3 3.75 0.05 24 72.3 0.01 31 LYM1209 80482.4 4.80 0.02 59 100.2 0.06 82 LYM1209 80482.6 4.98 0.02 64 139.5 0.09 153 LYM1201 81102.1 4.42 0.05 46 81.4 0.06 48 LYM1201 81102.3 3.73 0.08 23 — — — LYM1201 81103.1 3.78 0.02 25 80.1 L 45 LYM1201 81104.4 6.12 0.03 102 164.4 0.15 199 LYM1201 81105.2 5.30 0.06 75 98.8 0.01 79 LYM1195 81918.3 5.75 0.04 90 115.2 0.02 109 LYM1195 81919.3 5.45 0.05 80 127.2 0.19 131 LYM1195 81919.4 5.50 L 82 108.5 0.02 97 LYM1195 81919.6 5.05 0.01 67 113.4 0.07 106 LYM1189 81099.1 4.72 0.02 56 97.2 L 76 LYM1189 81099.2 4.60 0.04 52 85.9 L 56 LYM1189 81100.2 3.92 0.16 30 70.8 0.12 29 LYM1189 81101.4 — — — 66.8 0.09 21 LYM1182 81492.1 5.83 0.07 93 120.8 0.07 119 LYM1182 81492.4 8.08 L 167 164.4 L 198 LYM1182 81493.2 5.55 L 83 107.1 L 95 LYM1182 81494.2 4.17 0.05 38 85.8 0.02 56 LYM1182 81495.5 4.92 0.02 63 98.1 0.02 78 LYM1176 80809.1 3.60 0.29 19 69.0 0.03 25 LYM1176 80810.3 4.03 0.03 33 74.9 0.03 36 LYM1176 80810.6 4.60 0.06 52 92.1 0.02 67 LYM1176 80811.3 5.93 0.05 96 181.3 0.27 229 LYM1176 80811.4 — — — 72.5 0.15 32 LYM1173 80464.1 9.03 L 198 165.0 L 200 LYM1173 80464.4 7.50 L 148 147.4 L 168 LYM1173 80464.5 4.25 0.13 40 119.7 0.02 117 LYM1173 80466.2 — — — 98.8 0.07 79 LYM1170 80187.1 4.77 0.06 58 84.4 0.10 53 LYM1170 80187.5 3.88 0.09 28 78.0 0.11 42 LYM1170 80189.1 4.22 0.08 40 117.7 0.11 114 LYM1170 80189.3 5.38 0.09 78 107.1 L 95 LYM1170 80189.4 4.95 L 64 125.7 0.06 128 LYM1169 80606.4 6.33 0.02 109 110.4 L 100 LYM1169 80607.2 — — — 72.0 0.13 31 LYM1169 80607.3 5.22 L 73 107.1 L 95 LYM1146 81487.4 7.00 L 131 164.9 0.03 199 LYM1146 81487.5 5.00 0.01 65 131.9 0.07 139 LYM1146 81488.2 7.60 L 151 149.0 L 171 LYM1146 81491.4 5.42 L 79 139.2 0.03 153 LYM1146 81491.5 7.55 0.01 150 148.4 0.03 169 CONT. — 3.02 — — 55.1 — — LYM1208 83928.4 4.38 L 67 108.6 0.30 49 LYM1208 83928.5 3.20 0.18 22 — — — LYM1208 83929.5 3.98 0.05 52 106.7 0.20 46 LYM1208 83929.6 4.92 L 89 104.5 0.09 43 LYM1205 83050.6 5.77 L 121 130.3 L 79 LYM1205 83054.3 4.42 L 69 — — — LYM1174 83270.2 3.15 0.21 21 — — — LYM1174 83274.1 5.22 0.03 100 94.5 0.25 30 LYM1174 83274.5 8.18 L 213 172.4 0.03 136 LYM1160 81861.2 3.70 0.09 42 90.0 0.24 23 LYM1160 81862.3 5.47 L 110 103.9 0.09 43 LYM1153 83265.5 4.77 0.09 82 103.9 0.19 43 LYM1153 83267.2 4.12 L 58 139.4 0.12 91 LYM1153 83267.4 5.60 L 114 109.7 0.07 50 LYM1153 83267.5 5.45 0.01 109 112.9 0.04 55 LYM1125 83041.4 5.68 0.04 117 105.4 0.16 45 LYM1125 83042.1 3.17 0.06 22 — — — LYM1125 83042.5 5.35 0.20 105 115.3 0.20 58 LYM1122 81983.5 3.55 0.06 36 — — — LYM1122 81983.6 5.92 0.02 127 129.3 0.04 77 LYM1122 81985.2 3.55 0.13 36 104.2 0.18 43 LYM1122 81985.4 4.45 0.03 70 134.6 0.14 85 LYM1122 81985.5 5.20 L 99 101.5 0.08 39 LYM1090 83375.3 2.95 0.29 13 — — — LYM1090 83377.1 3.78 0.07 44 — — — LYM1090 83379.3 4.77 0.12 83 118.5 0.03 62 LYM1090 83379.4 3.52 0.07 35 — — — LYM1090 83379.6 4.72 L 81 — — — LYM1088 83557.1 7.58 L 190 170.4 L 134 LYM1088 83557.2 5.83 0.03 123 127.0 0.10 74 LYM1088 83558.1 3.85 0.23 47 — — — LYM1088 83558.4 6.05 L 132 141.5 L 94 LYM1088 83558.5 4.22 0.04 62 — — — LYM1046 81907.2 3.10 0.22 19 86.7 0.27 19 LYM1046 81909.2 3.38 0.14 29 — — — LYM1046 81909.4 3.12 0.21 20 — — — LYM1046 81909.5 4.72 L 81 96.4 0.12 32 LYM1035 83260.3 5.25 0.14 101 — — — LYM1035 83260.5 4.47 0.03 71 103.1 0.12 41 LYM1035 83262.1 4.90 L 88 110.9 0.01 52 LYM1035 83264.6 3.20 0.12 22 — — — LYM1030 83544.1 3.88 0.09 48 — — — LYM1030 83547.2 3.85 0.05 47 98.5 0.29 35 CONT. — 2.61 — — 72.9 — — LYM1118 82534.6 4.33 0.24 26 97.9 0.23 27 LYM1114 82487.11 4.22 0.08 23 96.5 0.17 25 LYM1114 82487.7 4.93 0.03 44 156.4 0.06 102 LYM1113 81872.4 5.30 L 55 125.4 L 62 LYM1106 82627.2 5.77 0.02 68 109.7 0.21 42 LYM1106 82627.6 4.15 0.28 21 — — — LYM1078 82657.6 4.77 0.17 39 131.0 L 70 LYM1078 82657.9 5.57 L 63 125.2 L 62 LYM1078 82659.2 6.10 L 78 118.6 0.04 53 LYM1078 82659.5 5.00 0.13 46 101.6 0.07 32 LYM1075 83047.2 4.98 0.03 45 117.4 0.03 52 LYM1075 83047.8 4.37 0.19 27 — — — LYM1075 83049.1 5.30 0.03 55 113.1 0.05 46 LYM1075 83049.3 4.93 0.01 44 105.8 0.09 37 LYM1074 82571.1 5.25 0.02 53 121.0 0.07 57 LYM1074 82572.2 5.20 L 52 111.2 0.07 44 LYM1066 82003.1 4.33 0.17 27 — — — LYM1033 82883.6 4.95 0.04 45 112.5 0.02 46 LYM1033 82885.5 4.95 0.02 45 99.4 0.09 29 LYM1027 82520.3 6.65 L 94 160.9 0.01 108 LYM1027 82520.6 5.07 0.02 48 99.5 0.16 29 LYM1027 82523.1 4.40 0.14 28 — — — LYM1027 82523.2 4.25 0.07 24 115.8 0.16 50 LYM1024 82475.5 — — — 116.2 0.04 50 LYM1024 82477.2 5.73 0.22 67 — — — LYM1023 82516.1 5.30 L 55 117.5 0.06 52 LYM1023 82518.10 4.62 0.07 35 — — — CONT. — 3.43 — — 77.3 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

The genes presented in Tables 117 and 118 show a significant improvement in plant performance since they produced a larger leaf biomass (leaf area) and root biomass (root length and root coverage) (Table 117) and a higher relative growth rate of leaf area, root coverage and root length (Table 118) when grown under normal growth conditions, compared to control plants. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass have better ability to produce assimilates. The genes were cloned under the regulation of a constitutive promoter (At6669). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one tissue culture assay. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

TABLE 117 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Leaf Area Roots Coverage Roots Length [cm²] [cm²] [cm] P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1228 82560.2 0.643 0.28 15 — — — 7.34 0.30  3 LYM1226 82893.10 — — — — — — 7.31 0.25  3 LYM1226 82893.5 — — — — — — 7.69 0.02  9 LYM1225 82564.2 — — — — — — 7.32 0.24  3 LYM1225 82566.1 — — — 9.36 0.19 20 — — — LYM1225 82566.6 — — — — — — 7.44 0.08  5 LYM1207 80247.4 — — — — — — 7.57 0.10  7 LYM1203 81750.1 — — — — — — 7.49 0.27  6 LYM1185 81024.4 — — — 9.13 0.15 17 7.30 0.26  3 LYM1178 82652.6 — — — — — — 7.59 0.10  7 LYM1172 82555.5 — — — — — — 7.40 0.21  4 LYM1172 82558.3 0.642 0.22 15 9.82 0.25 26 7.99 L 13 LYM1155 82888.5 0.689 0.24 23 — — — — — — LYM1155 82890.4 0.706 0.04 26 9.49 0.19 22 — — — LYM1155 82890.5 — — — — — — 7.43 0.11  5 LYM1128 82548.1 — — — 10.1 0.15 30 7.63 0.05  8 LYM1070 82533.5 — — — — — — 7.38 0.20  4 LYM1070 82533.8 — — — — — — 7.47 0.06  5 LYM1059_H7 82876.9 — — — 9.86 0.29 26 — — — LYM1037 82524.1 — — — — — — 7.58 0.02  7 CONT. — 0.560 — — 7.79 — — 7.09 — — LYM1237 83878.2 0.531 0.18 26 — — — — — — LYM1237 83880.3 0.446 0.29 6 — — — — — — LYM1237 83882.1 0.627 L 49 6.54 0.02 26 — — — LYM1237 83882.2 0.590 0.01 41 7.30 L 40 7.19 0.04 11 LYM1230 80490.1 0.509 L 21 6.55 0.04 26 — — — LYM1230 80490.2 0.586 L 40 5.92 0.11 14 — — — LYM1230 80493.5 0.456 0.04 9 — — — — — — LYM1225 82566.1 0.571 0.04 36 6.62 0.05 27 7.07 0.09  9 LYM1225 82566.2 0.545 0.03 30 6.49 0.11 25 7.12 0.15 10 LYM1225 82566.6 0.492 0.10 17 6.42 0.05 23 — — — LYM1225 82566.8 0.462 0.24 10 — — — — — — LYM1186 83933.1 0.638 0.02 52 7.46 L 43 7.10 0.16 10 LYM1186 83933.3 0.605 L 44 6.75 0.06 30 — — — LYM1186 83933.4 0.491 0.10 17 — — — — — — LYM1186 83937.1 0.555 0.02 32 6.37 0.07 23 — — — LYM1185 81023.4 0.488 0.25 16 — — — — — — LYM1185 81024.3 0.540 0.03 29 6.50 0.08 25 7.14 0.10 10 LYM1185 81025.3 0.467 0.04 11 — — — — — — LYM1172 82555.3 0.523 L 25 — — — — — — LYM1172 82555.5 0.507 0.16 21 7.15 0.05 37 7.35 L 13 LYM1172 82555.6 0.521 0.04 24 — — — — — — LYM1172 82558.10 0.505 0.07 20 6.19 0.24 19 — — — LYM1172 82558.3 0.510 0.01 22 — — — — — — LYM1091_H5 83925.6 0.546 L 30 7.30 L 40 7.50 0.02 16 LYM1091_H5 83927.4 0.570 0.03 36 7.56 0.01 45 7.42 0.01 14 LYM1091_H5 83927.5 0.528 0.07 26 6.43 0.12 24 7.02 0.27  8 LYM1091_H5 83927.6 0.508 0.17 21 6.31 0.18 21 — — — CONT. — 0.420 — — 5.20 — — 6.48 — — LYM1186 83933.1 0.343 L 17 4.96 0.01 18 6.25 0.03 11 LYM1186 83933.2 0.423 L 44 6.42 L 52 6.21 0.07 10 LYM1186 83933.3 0.447 L 52 6.51 L 54 7.28 L 30 LYM1186 83933.4 0.340 L 16 4.58 0.17 9 — — — LYM1186 83937.1 0.482 0.03 64 6.77 L 61 7.18 L 28 LYM1076_H4 83975.2 0.355 L 21 — — — — — — LYM1076_H4 83976.1 0.402 0.01 37 5.14 0.29 22 6.66 0.01 19 LYM1076_H4 83976.3 0.349 0.03 19 5.43 0.07 29 6.63 0.03 18 LYM1076_H4 83977.3 0.399 0.03 36 — — — — — — LYM1076_H4 83977.5 0.520 0.08 77 5.89 0.15 40 6.51 0.14 16 CONT. — 0.294 — — 4.22 — — 5.62 — — LYM1161 80178.3 — — — 5.37 0.09 18 6.40 0.12 10 LYM1161 80178.4 0.463 0.14 28 — — — — — — LYM1161 80179.1 0.540 0.08 50 6.50 0.25 43 — — — LYM1161 80179.3 — — — — — — 6.67 0.08 14 LYM1157 82231.2 0.385 0.13 7 5.06 0.26 11 6.55 0.12 12 LYM1157 82231.4 0.548 0.02 52 6.86 0.08 50 — — — LYM1157 82232.2 0.468 0.11 30 — — — — — — LYM1132 82013.1 0.476 L 32 — — — 6.49 0.08 11 LYM1132 82013.4 0.437 L 21 — — — 6.73 0.02 16 LYM1132 82017.6 0.412 0.15 14 — — — — — — LYM1124 82008.4 0.450 0.01 25 6.00 0.12 32 6.35 0.26  9 LYM1115 80133.1 0.452 L 25 — — — 6.82 0.06 17 LYM1115 80133.6 0.412 0.14 14 — — — — — — LYM1115 80134.2 0.463 0.03 28 5.89 0.02 29 7.31 L 25 LYM1115 80135.2 0.564 0.11 56 6.90 0.24 51 6.47 0.05 11 LYM1085 82683.2 0.576 0.12 60 — — — — — — LYM1085 82683.3 0.437 0.21 21 6.04 0.07 32 6.25 0.20  7 LYM1085 82685.1 0.488 0.02 35 5.96 0.18 31 6.73 0.18 15 LYM1085 82685.12 0.447 0.03 24 5.47 0.23 20 7.14 L 22 LYM1082 82481.2 0.410 0.14 14 — — — — — — LYM1082 82481.4 — — — 5.24 0.08 15 — — — LYM1082 82482.4 — — — 5.08 0.26 11 6.96 0.02 19 LYM1082 82482.5 0.397 0.04 10 — — — — — — LYM1073 80978.3 0.469 0.02 30 — — — — — — LYM1073 80978.4 0.430 L 19 — — — — — — LYM1073 80980.3 0.390 0.25 8 — — — — — — LYM1073 80981.1 0.490 0.05 36 — — — — — — LYM1054 80106.2 0.436 L 21 — — — 6.52 0.02 12 LYM1054 80108.2 0.491 L 36 — — — — — — LYM1054 80110.4 0.506 0.09 40 — — — — — — LYM1044 82612.2 0.490 0.10 36 — — — — — — LYM1044 82613.4 0.457 L 27 6.00 0.03 31 6.75 0.11 16 LYM1044 82614.1 0.425 0.06 18 — — — — — — LYM1042 81998.2 0.402 0.23 11 — — — 6.98 L 20 LYM1042 82000.2 0.415 0.10 15 — — — — — — LYM1042 82000.4 0.418 L 16 — — — 6.47 0.07 11 LYM1042 82001.2 0.429 0.18 19 — — — — — — LYM1029 81349.4 0.417 0.09 16 — — — — — — LYM1029 81351.4 0.422 0.15 17 6.79 0.03 49 6.99 0.03 20 LYM1029 81353.1 0.424 0.08 18 5.26 0.23 15 6.50 0.22 12 CONT. — 0.361 — — 4.56 — — 5.83 — — LYM1229 81574.1 0.523 L 77 9.53 0.01 137 7.66 L 28 LYM1229 81574.2 0.433 0.02 47 7.72 0.05 92 7.35 0.02 23 LYM1229 81575.1 0.413 L 40 5.92 0.06 47 — — — LYM1229 81575.3 0.577 L 96 9.24 L 130 7.33 L 22 LYM1229 81576.5 0.373 L 27 5.19 0.07 29 — — — LYM1227 81179.1 0.408 L 38 6.01 0.01 49 6.80 0.08 14 LYM1227 81179.2 0.471 L 60 7.52 L 87 7.34 L 23 LYM1227 81179.3 0.374 L 27 5.73 0.03 42 6.81 0.13 14 LYM1227 81179.7 0.449 0.12 52 7.16 0.14 78 — — — LYM1227 81180.2 0.541 L 84 9.11 L 127 7.36 0.02 23 LYM1219 80509.2 0.548 L 86 7.06 0.01 76 7.02 0.03 17 LYM1219 80510.3 0.488 L 66 7.46 L 85 7.39 0.02 23 LYM1219 80510.4 0.504 0.03 71 6.74 0.01 68 — — — LYM1219 80513.2 0.506 0.01 72 8.61 0.04 114 7.79 L 30 LYM1218 81114.1 0.391 L 33 7.34 0.03 82 6.79 0.25 13 LYM1218 81114.2 0.712 L 142 9.49 0.05 136 7.46 0.01 25 LYM1218 81116.6 0.349 0.02 18 5.68 0.08 41 6.87 0.08 15 LYM1218 81116.7 0.544 0.13 84 8.61 0.01 114 7.19 0.01 20 LYM1218 81116.8 0.675 L 129 9.03 L 125 7.73 L 29 LYM1216 80256.4 0.332 0.24 13 — — — — — — LYM1216 80256.7 0.561 L 90 9.87 0.03 145 7.48 0.02 25 LYM1216 80259.1 0.486 L 65 6.38 L 59 6.97 0.07 16 LYM1216 80259.2 0.447 L 52 6.99 L 74 7.06 0.02 18 LYM1216 80260.1 0.582 L 97 9.75 L 142 7.74 L 29 LYM1212 80777.1 0.414 L 41 5.00 0.15 24 — — — LYM1212 80779.1 0.538 L 83 — — — — — — LYM1210 80617.1 0.349 L 18 5.53 0.07 37 — — — LYM1210 80618.2 0.444 L 51 5.68 0.14 41 — — — LYM1210 80618.3 0.600 L 103 8.93 L 122 7.76 L 30 LYM1210 80620.2 0.567 L 92 7.60 0.06 89 7.53 L 26 LYM1210 80620.5 0.493 0.02 67 6.25 0.13 55 — — — LYM1209 80479.1 0.524 L 78 8.37 L 108 7.22 0.02 21 LYM1209 80480.1 0.661 L 124 8.89 0.01 121 7.25 0.05 21 LYM1209 80482.3 0.386 L 31 4.83 0.21 20 — — — LYM1209 80482.4 0.489 L 66 5.51 0.08 37 — — — LYM1209 80482.6 0.449 L 52 6.93 L 72 6.51 0.22  9 LYM1201 81102.1 0.412 L 40 7.13 L 77 7.50 L 25 LYM1201 81102.3 0.367 0.08 25 5.42 0.03 35 6.68 0.13 12 LYM1201 81103.1 0.430 L 46 6.83 L 70 7.37 L 23 LYM1201 81104.4 0.587 0.03 99 6.81 0.06 69 — — — LYM1201 81105.2 0.483 0.01 64 6.94 0.03 73 6.79 0.09 13 LYM1195 81918.1 0.335 0.18 14 — — — — — — LYM1195 81918.3 0.578 L 96 10.3 0.03 156 8.03 L 34 LYM1195 81919.3 0.567 L 92 7.89 0.01 96 7.36 0.02 23 LYM1195 81919.4 0.575 L 95 7.02 L 75 6.94 0.04 16 LYM1195 81919.6 0.538 0.02 83 7.04 0.09 75 7.45 0.11 24 LYM1189 81097.2 — — — 5.42 0.14 35 6.67 0.19 11 LYM1189 81099.1 0.460 L 56 6.01 0.06 49 — — — LYM1189 81099.2 0.460 L 56 7.54 L 88 7.55 L 26 LYM1189 81100.2 0.389 L 32 6.39 0.09 59 6.75 0.20 13 LYM1189 81101.4 0.391 0.03 33 5.12 0.21 27 6.91 0.13 15 LYM1182 81492.1 0.509 0.02 73 6.13 0.12 52 6.86 0.21 14 LYM1182 81492.4 0.740 L 151 11.8 L 192 7.89 L 32 LYM1182 81493.2 0.496 0.03 68 7.26 0.01 81 6.94 0.18 16 LYM1182 81494.2 0.388 0.02 32 6.95 L 73 6.70 0.19 12 LYM1182 81495.5 0.474 0.04 61 7.02 0.02 75 — — — LYM1176 80809.1 0.326 0.09 11 — — — — — — LYM1176 80810.3 0.412 L 40 5.03 0.09 25 6.45 0.27  8 LYM1176 80810.6 0.467 L 58 5.92 0.06 47 6.42 0.28  7 LYM1176 80811.3 0.526 0.10 78 8.45 0.09 110 — — — LYM1176 80811.4 0.381 0.02 29 6.36 0.15 58 — — — LYM1173 80464.1 0.724 L 146 14.1 L 251 7.78 L 30 LYM1173 80464.4 0.663 L 125 9.93 L 147 — — — LYM1173 80464.5 0.455 0.04 54 8.45 0.03 110 — — — LYM1173 80466.2 0.394 0.02 34 8.68 0.02 116 7.15 0.09 19 LYM1170 80187.1 0.449 0.10 52 5.71 0.11 42 — — — LYM1170 80187.5 0.446 L 51 6.03 0.05 50 6.97 0.11 16 LYM1170 80189.1 0.419 L 42 7.59 L 89 6.96 0.07 16 LYM1170 80189.3 0.455 L 54 7.64 0.06 90 — — — LYM1170 80189.4 0.465 0.01 58 8.03 L 100 7.42 0.02 24 LYM1169 80606.4 0.501 0.04 70 7.74 0.07 93 — — — LYM1169 80607.2 0.328 0.25 11 5.29 0.15 32 — — — LYM1169 80607.3 0.456 L 55 8.76 0.02 118 7.36 0.07 23 LYM1146 81487.4 0.645 0.01 119 6.86 0.03 70 — — — LYM1146 81487.5 0.460 L 56 7.61 L 89 7.59 L 27 LYM1146 81488.2 0.691 L 134 11.2 L 179 7.99 L 33 LYM1146 81491.4 0.536 L 82 5.05 0.09 25 — — — LYM1146 81491.5 0.673 0.01 128 8.02 L 99 6.93 0.12 16 CONT. — 0.295 — — 4.02 — — 5.99 — — LYM1208 83928.4 0.516 0.04 45 6.65 0.04 31 — — — LYM1208 83928.5 0.392 0.27 10 — — — — — — LYM1208 83929.5 0.431 0.05 21 — — — — — — LYM1208 83929.6 0.510 0.02 43 6.23 0.28 23 — — — LYM1205 83050.6 0.606 L 70 7.67 L 52 — — — LYM1205 83054.3 0.498 0.02 40 6.43 0.04 27 — — — LYM1174 83270.2 0.382 0.26 7 — — — — — — LYM1174 83274.1 0.577 0.02 62 7.82 0.16 54 — — — LYM1174 83274.5 0.734 L 106 7.42 0.05 46 — — — LYM1160 81861.2 0.440 0.14 24 6.67 0.28 32 — — — LYM1160 81862.3 0.597 0.02 68 9.40 0.01 86 8.18 0.01 16 LYM1160 81862.5 — — — 6.26 0.19 24 7.51 0.16  6 LYM1153 83265.5 0.517 L 45 7.47 0.21 47 — — — LYM1153 83267.2 0.452 L 27 — — — — — — LYM1153 83267.4 0.593 L 67 7.50 0.07 48 — — — LYM1153 83267.5 0.498 0.07 40 — — — — — — LYM1153 83269.5 0.403 0.15 13 — — — — — — LYM1125 83041.4 0.589 0.06 65 6.97 0.23 38 — — — LYM1125 83042.1 0.446 L 25 5.71 0.25 13 — — — LYM1125 83042.5 0.573 0.13 61 — — — — — — LYM1122 81983.5 0.417 0.24 17 — — — — — — LYM1122 81983.6 0.648 0.01 82 8.24 0.09 63 — — — LYM1122 81985.2 0.507 L 42 6.60 0.05 30 — — — LYM1122 81985.4 0.474 0.03 33 — — — — — — LYM1122 81985.5 0.507 L 42 — — — — — — LYM1090 83377.1 0.439 0.18 23 6.69 0.06 32 — — — LYM1090 83379.3 0.558 0.04 57 — — — — — — LYM1090 83379.4 0.453 0.03 27 6.86 0.12 36 7.63 0.13  8 LYM1090 83379.6 0.522 0.04 47 6.76 0.14 34 — — — LYM1088 83557.1 0.747 L 110 9.98 0.02 97 7.67 0.20  8 LYM1088 83557.2 0.611 L 72 8.41 0.06 66 8.01 L 13 LYM1088 83558.1 0.505 0.08 42 7.63 0.14 51 — — — LYM1088 83558.4 0.638 L 79 8.74 0.02 73 — — — LYM1088 83558.5 0.476 L 34 6.45 0.06 27 — — — LYM1046 81907.2 0.456 0.03 28 — — — — — — LYM1046 81907.4 0.421 0.08 18 — — — — — — LYM1046 81909.2 0.414 0.05 16 — — — — — — LYM1046 81909.4 0.403 0.20 13 — — — — — — LYM1046 81909.5 0.555 L 56 — — — — — — LYM1035 83260.3 0.493 0.21 39 7.96 0.22 57 — — — LYM1035 83260.5 0.527 0.03 48 8.02 0.11 58 — — — LYM1035 83262.1 0.531 L 49 7.67 L 52 — — — LYM1030 83544.1 0.399 0.26 12 — — — — — — LYM1030 83544.3 0.417 0.04 17 — — — — — — LYM1030 83547.2 0.448 0.02 26 7.34 L 45 — — — CONT. — 0.356 — — 5.06 — — 7.08 — — LYM1118 82534.6 0.432 0.13 26 — — — — — — LYM1114 82487.11 0.472 L 38 5.03 0.18 21 6.34 0.21 10 LYM1114 82487.7 0.476 L 39 5.98 0.07 44 6.62 0.21 15 LYM1113 81872.4 0.489 L 43 6.01 0.02 45 7.05 0.02 22 LYM1106 82627.2 0.545 0.08 59 6.00 0.02 45 — — — LYM1106 82627.3 — — — 5.15 0.16 24 — — — LYM1106 82627.6 0.399 0.19 16 4.90 0.25 18 — — — LYM1078 82657.6 0.446 0.10 30 — — — — — — LYM1078 82657.9 0.518 L 51 7.22 L 74 6.83 0.06 19 LYM1078 82659.2 0.598 L 75 7.02 L 69 7.49 L 30 LYM1078 82659.5 0.438 0.03 28 — — — — — — LYM1075 83047.2 0.472 0.01 38 5.55 0.05 34 6.63 0.10 15 LYM1075 83047.8 0.429 0.04 25 — — — — — — LYM1075 83049.1 0.513 0.04 50 6.35 0.06 53 6.84 0.07 19 LYM1075 83049.3 0.522 0.03 52 6.43 0.04 55 — — — LYM1074 82571.1 0.427 0.08 25 5.08 0.18 22 — — — LYM1074 82572.2 0.453 0.01 32 5.00 0.22 21 — — — LYM1066 82003.1 0.419 0.07 22 — — — — — — LYM1033 82883.6 0.445 0.04 30 6.46 L 56 6.53 0.13 13 LYM1033 82885.5 0.408 0.11 19 5.63 0.06 36 — — — LYM1027 82520.3 0.664 L 94 6.67 0.06 61 — — — LYM1027 82520.6 0.477 0.04 39 — — — — — — LYM1027 82523.1 0.404 0.22 18 — — — — — — LYM1027 82523.2 0.394 0.26 15 — — — — — — LYM1024 82475.5 0.441 0.04 29 — — — — — — LYM1023 82516.1 0.549 0.02 60 5.97 0.28 44 — — — LYM1023 82518.1 0.401 0.19 17 — — — — — — LYM1023 82518.10 0.429 0.06 25 — — — — — — CONT. — 0.342 — — 4.15 — — 5.76 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

TABLE 118 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of RGR Of Roots RGR Of Root Leaf Area Coverage Length P- % P- % P- % Gene Name Event # Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1228 82560.2 — — — — — — 0.660 0.23  8 LYM1226 82893.10 — — — — — — 0.669 0.13 10 LYM1226 82893.5 — — — — — — 0.725 L 19 LYM1225 82566.1 — — — 1.10 0.18 22 — — — LYM1207 80247.4 — — — — — — 0.674 0.10 10 LYM1194 81624.5 — — — — — — 0.659 0.29  8 LYM1192 81128.3 — — — — — — 0.666 0.19  9 LYM1185 81024.4 — — — 1.06 0.27 17 — — — LYM1178 82652.6 — — — — — — 0.686 0.10 13 LYM1172 82555.3 — — — — — — 0.677 0.10 11 LYM1172 82558.3 — — — 1.17 0.13 29 0.740 L 21 LYM1155 82888.5 0.0696 0.14 29 — — — — — — LYM1155 82890.4 0.0694 0.09 28 1.14 0.13 26 0.672 0.14 10 LYM1155 82890.5 — — — — — — 0.655 0.29  7 LYM1128 82548.1 0.0670 0.24 24 1.17 0.10 30 — — — LYM1059_H7 82876.9 — — — 1.14 0.18 26 — — — LYM1037 82524.3 — — — — — — 0.656 0.25  8 CONT. — 0.0541 — — 0.902 — — 0.610 — — LYM1237 83878.2 0.0512 0.06 29 — — — — — — LYM1237 83882.1 0.0611 L 54 0.759 L 37 — — — LYM1237 83882.2 0.0558 L 41 0.811 L 46 0.589 0.06 13 LYM1230 80489.3 0.0490 0.11 24 0.645 0.27 16 0.580 0.23 11 LYM1230 80490.1 0.0506 L 28 0.718 0.02 29 0.572 0.18 10 LYM1230 80490.2 0.0539 L 36 0.658 0.10 19 — — — LYM1230 80493.5 — — — — — — 0.574 0.14 10 LYM1225 82566.1 0.0539 L 36 0.730 0.02 32 0.570 0.12  9 LYM1225 82566.2 0.0501 0.02 27 0.725 0.02 31 — — — LYM1225 82566.6 0.0486 0.03 23 0.740 0.01 33 — — — LYM1225 82566.8 — — — 0.661 0.19 19 0.579 0.28 11 LYM1186 83933.1 0.0623 L 57 0.842 L 52 0.565 0.24  9 LYM1186 83933.3 0.0590 L 49 0.781 L 41 0.595 0.10 14 LYM1186 83933.4 0.0475 0.07 20 — — — — — — LYM1186 83937.1 0.0500 0.02 26 0.732 0.01 32 — — — LYM1185 81023.4 0.0493 0.05 25 0.692 0.12 25 — — — LYM1185 81024.3 0.0509 L 29 0.704 0.04 27 0.561 0.25  8 LYM1185 81024.4 — — — — — — 0.566 0.15  9 LYM1185 81025.3 0.0464 0.07 17 — — — — — — LYM1172 82555.3 0.0517 L 31 — — — — — — LYM1172 82555.5 0.0498 0.06 26 0.811 L 46 0.607 0.02 17 LYM1172 82555.6 0.0514 L 30 0.659 0.15 19 0.633 L 22 LYM1172 82558.10 0.0493 0.02 24 0.686 0.09 24 — — — LYM1172 82558.3 0.0464 0.09 17 — — — — — — LYM1091_H5 83925.6 0.0533 L 35 0.858 L 55 0.592 0.04 14 LYM1091_H5 83927.3 — — — 0.626 0.25 13 — — — LYM1091_H5 83927.4 0.0558 L 41 0.840 L 51 0.561 0.23  8 LYM1091_H5 83927.5 0.0504 0.03 27 0.740 0.01 33 0.585 0.14 12 LYM1091_H5 83927.6 0.0486 0.08 23 0.682 0.10 23 — — — CONT. — 0.0396 — — 0.555 — — 0.520 — — LYM1186 83933.1 0.0316 0.03 21 0.590 0.06 23 0.546 0.13 13 LYM1186 83933.2 0.0404 L 54 0.777 L 63 0.587 0.02 22 LYM1186 83933.3 0.0405 L 55 0.709 L 49 0.611 L 27 LYM1186 83933.4 0.0306 0.04 17 0.543 0.25 14 — — — LYM1186 83937.1 0.0431 L 65 0.726 L 52 0.615 L 28 LYM1076_H4 83975.2 0.0319 0.01 22 — — — — — — LYM1076_H4 83976.1 0.0323 0.03 24 — — — — — — LYM1076_H4 83976.3 0.0316 0.05 21 0.648 0.02 36 0.579 0.05 20 LYM1076_H4 83977.3 0.0371 L 42 0.562 0.23 18 — — — LYM1076_H4 83977.5 0.0478 L 83 0.666 0.05 40 0.587 0.07 22 CONT. — 0.0262 — — 0.478 — — 0.482 — — LYM1161 80178.3 0.0385 0.06 20 0.654 0.10 19 0.606 0.16 10 LYM1161 80178.4 0.0427 0.03 33 — — — — — — LYM1161 80179.1 0.0505 L 58 0.781 0.04 42 — — — LYM1161 80179.3 — — — — — — 0.617 0.11 12 LYM1157 82231.2 0.0364 0.12 14 — — — 0.614 0.13 12 LYM1157 82231.4 0.0543 L 69 0.827 L 51 — — — LYM1157 82232.2 0.0452 L 41 0.67 0.15 22 — — — LYM1132 82013.1 0.0451 L 41 — — — 0.636 0.05 16 LYM1132 82013.4 0.0401 0.01 25 — — — 0.632 0.04 15 LYM1132 82017.6 0.0386 0.06 21 — — — — — — LYM1124 82008.4 0.0398 0.02 24 0.713 0.03 30 — — — LYM1115 80133.1 0.0429 L 34 — — — 0.685 L 25 LYM1115 80133.6 0.0391 0.04 22 0.629 0.29 15 — — — LYM1115 80134.2 0.0443 L 38 0.707 0.01 29 0.674 L 23 LYM1115 80135.2 0.0563 L 76 0.834 0.04 52 0.612 0.17 11 LYM1085 82683.2 0.0558 L 74 0.728 0.12 33 — — — LYM1085 82683.3 0.0405 0.07 26 0.724 0.01 32 — — — LYM1085 82685.1 0.0476 L 48 0.724 0.04 32 0.663 0.04 21 LYM1085 82685.12 0.0453 L 41 0.663 0.09 21 0.716 L 30 LYM1082 82481.2 0.0382 0.07 19 — — — — — — LYM1082 82481.4 — — — 0.629 0.18 15 — — — LYM1082 82482.4 — — — — — — 0.666 L 21 LYM1082 82482.5 0.0375 0.06 17 — — — — — — LYM1073 80978.3 0.0454 L 42 — — — — — — LYM1073 80978.4 0.0421 L 31 — — — — — — LYM1073 80980.3 0.0369 0.12 15 — — — — — — LYM1073 80981.1 0.0463 L 44 — — — — — — LYM1054 80106.2 0.0405 L 26 — — — 0.661 L 20 LYM1054 80108.2 0.0479 L 49 — — — — — — LYM1054 80110.4 0.0473 L 47 — — — — — — LYM1044 82612.2 0.0468 L 46 — — — — — — LYM1044 82613.2 0.0372 0.11 16 — — — — — — LYM1044 82613.4 0.0430 L 34 0.726 L 32 0.654 0.03 19 LYM1044 82614.1 0.0408 L 27 — — — — — — LYM1042 81998.2 0.0374 0.12 17 — — — 0.683 L 24 LYM1042 82000.2 0.0388 0.04 21 — — — — — — LYM1042 82000.4 0.0399 L 25 — — — 0.647 0.02 18 LYM1042 82001.2 0.0395 0.06 23 — — — — — — LYM1029 81349.4 0.0399 0.02 24 — — — 0.597 0.19  9 LYM1029 81351.4 0.0429 L 34 0.824 L 50 0.696 L 27 LYM1029 81353.1 0.0410 0.02 28 0.628 0.23 14 0.620 0.13 13 LYM1029 81353.3 0.0393 0.08 23 0.662 0.14 21 — — — CONT. — 0.0321 — — 0.549 — — 0.549 — — LYM1229 81574.1 0.0509 L 85 1.10 L 141 0.696 0.01 33 LYM1229 81574.2 0.0423 L 53 0.911 L 100 0.662 0.06 27 LYM1229 81575.1 0.0417 L 51 0.674 0.05 48 — — — LYM1229 81575.3 0.0566 L 105 1.09 L 139 0.639 0.08 22 LYM1229 81576.5 0.0350 L 27 0.598 0.12 31 — — — LYM1227 81179.1 0.0384 L 39 0.672 0.02 47 — — — LYM1227 81179.2 0.0466 L 69 0.878 L 93 0.632 0.11 21 LYM1227 81179.3 0.0341 0.02 24 0.660 0.04 45 0.603 0.25 15 LYM1227 81179.7 0.0462 L 67 0.837 0.01 84 — — — LYM1227 81180.2 0.0548 L 99 1.04 L 128 0.675 0.03 29 LYM1219 80509.2 0.0520 L 89 0.796 L 75 0.655 0.06 25 LYM1219 80510.3 0.0466 L 69 0.862 L 89 0.643 0.09 23 LYM1219 80510.4 0.0475 L 72 0.764 L 68 — — — LYM1219 80513.2 0.0529 L 92 0.989 L 117 0.742 L 42 LYM1218 81114.1 0.0370 L 34 0.875 L 92 — — — LYM1218 81114.2 0.0679 L 146 1.12 L 145 0.660 0.08 26 LYM1218 81116.6 0.0330 0.04 20 0.668 0.03 47 0.609 0.20 17 LYM1218 81116.7 0.0512 0.01 86 0.977 L 114 0.607 0.25 16 LYM1218 81116.8 0.0654 L 137 1.05 L 130 0.649 0.10 24 LYM1216 80256.7 0.0565 L 105 1.15 L 153 0.672 0.05 29 LYM1216 80259.1 0.0462 L 67 0.740 L 62 0.650 0.07 25 LYM1216 80259.2 0.0454 L 65 0.798 L 75 0.610 0.18 17 LYM1216 80260.1 0.0594 L 115 1.14 L 150 0.683 0.03 31 LYM1212 80777.1 0.0392 L 42 0.593 0.13 30 0.619 0.19 19 LYM1212 80779.1 0.0466 L 69 — — — — — — LYM1210 80617.1 0.0344 0.01 25 0.659 0.04 45 0.604 0.22 16 LYM1210 80618.2 0.0413 L 50 0.678 0.04 49 — — — LYM1210 80618.3 0.0571 L 107 1.01 L 122 0.647 0.07 24 LYM1210 80620.2 0.0561 L 103 0.872 L 91 0.687 0.02 32 LYM1210 80620.5 0.0494 L 79 0.710 0.04 56 — — — LYM1209 80479.1 0.0510 L 85 0.995 L 118 0.706 0.01 35 LYM1209 80480.1 0.0601 L 118 1.04 L 128 0.635 0.11 22 LYM1209 80482.3 0.0361 L 31 0.563 0.23 24 — — — LYM1209 80482.4 0.0477 L 73 0.649 0.04 42 — — — LYM1209 80482.6 0.0437 L 58 0.810 L 78 0.592 0.30 13 LYM1201 81102.1 0.0403 L 46 0.791 L 73 0.718 L 37 LYM1201 81102.3 0.0351 0.02 27 0.649 0.04 42 0.650 0.06 24 LYM1201 81103.1 0.0406 L 47 0.804 L 76 0.670 0.03 28 LYM1201 81104.4 0.0540 L 96 0.794 L 74 — — — LYM1201 81105.2 0.0510 L 85 0.818 L 80 0.651 0.06 25 LYM1195 81918.1 0.0317 0.17 15 — — — — — — LYM1195 81918.3 0.0542 L 97 1.23 L 170 0.769 L 47 LYM1195 81919.3 0.0558 L 102 0.905 L 99 0.683 0.03 31 LYM1195 81919.4 0.0528 L 91 0.770 L 69 — — — LYM1195 81919.6 0.0505 L 83 0.806 L 77 0.672 0.08 29 LYM1189 81097.2 — — — 0.605 0.13 33 — — — LYM1189 81099.1 0.0448 L 63 0.711 0.02 56 — — — LYM1189 81099.2 0.0437 L 58 0.876 L 92 0.668 0.04 28 LYM1189 81100.2 0.0381 L 38 0.730 0.02 60 0.635 0.12 22 LYM1189 81101.4 0.0388 L 41 0.589 0.18 29 0.653 0.08 25 LYM1182 81492.1 0.0502 L 82 0.696 0.03 53 0.622 0.20 19 LYM1182 81492.4 0.0736 L 167 1.39 L 206 0.716 0.01 37 LYM1182 81493.2 0.0450 L 63 0.833 L 83 — — — LYM1182 81494.2 0.0373 L 35 0.808 L 77 0.602 0.26 15 LYM1182 81495.5 0.0467 L 69 0.834 L 83 0.620 0.18 19 LYM1176 80810.3 0.0376 L 36 0.580 0.15 27 — — — LYM1176 80810.6 0.0452 L 64 0.701 0.02 54 0.617 0.15 18 LYM1176 80811.3 0.0497 L 80 0.998 L 119 0.615 0.29 18 LYM1176 80811.4 0.0353 0.01 28 0.741 0.03 63 0.628 0.19 20 LYM1173 80464.1 0.0727 L 164 1.69 L 272 0.745 L 43 LYM1173 80464.4 0.0599 L 117 1.18 L 159 0.634 0.14 21 LYM1173 80464.5 0.0452 L 64 1.00 L 120 0.650 0.13 24 LYM1173 80466.2 0.0393 L 42 1.03 L 127 0.710 0.02 36 LYM1170 80187.1 0.0439 L 59 0.664 0.04 46 0.615 0.26 18 LYM1170 80187.5 0.0452 L 64 0.702 0.02 54 0.665 0.05 27 LYM1170 80189.1 0.0413 L 50 0.879 L 93 0.612 0.19 17 LYM1170 80189.3 0.0473 L 72 0.865 L 90 0.622 0.24 19 LYM1170 80189.4 0.0459 L 66 0.929 L 104 0.687 0.02 32 LYM1169 80606.4 0.0516 L 87 0.907 L 99 0.608 0.28 16 LYM1169 80607.2 0.0312 0.24 13 0.601 0.14 32 — — — LYM1169 80607.3 0.0452 L 64 1.01 L 121 0.672 0.05 29 LYM1146 81487.4 0.0605 L 119 0.781 L 71 — — — LYM1146 81487.5 0.0441 L 60 0.873 L 92 0.667 0.04 28 LYM1146 81488.2 0.0682 L 147 1.29 L 184 0.730 L 40 LYM1146 81491.4 0.0501 L 82 0.589 0.14 29 — — — LYM1146 81491.5 0.0642 L 133 0.963 L 111 0.670 0.04 28 CONT. — 0.0276 — — 0.456 — — 0.522 — — LYM1208 83928.4 0.0482 L 45 0.778 0.03 35 — — — LYM1208 83929.5 0.0406 0.06 22 — — — — — — LYM1208 83929.6 0.0495 L 49 0.700 0.20 21 — — — LYM1205 83050.6 0.0566 L 70 0.894 L 55 — — — LYM1205 83054.3 0.0475 L 43 0.766 0.03 32 0.709 0.19  8 LYM1174 83274.1 0.0537 L 62 0.910 0.01 57 — — — LYM1174 83274.5 0.0690 L 108 0.881 L 52 — — — LYM1160 81861.2 0.0402 0.15 21 0.785 0.09 36 — — — LYM1160 81862.3 0.0531 L 60 1.08 L 87 0.732 0.11 12 LYM1160 81862.5 — — — 0.735 0.09 27 0.720 0.15 10 LYM1153 83265.5 0.0522 L 57 0.862 0.02 49 — — — LYM1153 83267.2 0.0430 0.02 29 — — — — — — LYM1153 83267.4 0.0531 L 60 0.873 L 51 — — — LYM1153 83267.5 0.0495 L 49 — — — — — — LYM1125 83041.4 0.0550 L 65 0.820 0.05 42 — — — LYM1125 83042.1 0.0398 0.07 20 0.669 0.27 16 — — — LYM1125 83042.5 0.0571 L 72 0.698 0.28 21 — — — LYM1122 81983.5 0.0381 0.28 15 — — — — — — LYM1122 81983.6 0.0611 L 84 0.967 L 67 — — — LYM1122 81985.2 0.0461 L 39 0.766 0.03 33 — — — LYM1122 81985.4 0.0475 L 43 — — — — — — LYM1122 81985.5 0.0474 L 42 0.686 0.24 19 — — — LYM1090 83377.1 0.0456 0.02 37 0.782 0.03 35 — — — LYM1090 83379.3 0.0507 L 53 — — — — — — LYM1090 83379.4 0.0417 0.04 25 0.802 0.03 39 — — — LYM1090 83379.6 0.0478 L 44 0.772 0.05 34 — — — LYM1088 83557.1 0.0690 L 107 1.17 L 102 — — — LYM1088 83557.2 0.0563 L 69 0.983 L 70 0.717 0.15 10 LYM1088 83558.1 0.0467 0.02 40 0.893 0.01 55 — — — LYM1088 83558.4 0.0615 L 85 1.04 L 80 0.733 0.17 12 LYM1088 83558.5 0.0425 0.02 28 0.725 0.07 25 — — — LYM1046 81907.2 0.0418 0.05 26 — — — — — — LYM1046 81907.4 0.0383 0.22 15 — — — — — — LYM1046 81909.2 0.0398 0.09 20 — — — — — — LYM1046 81909.5 0.0531 L 60 — — — — — — LYM1035 83260.3 0.0493 0.03 48 0.941 0.03 63 — — — LYM1035 83260.5 0.0510 L 53 0.933 L 61 — — — LYM1035 83262.1 0.0494 L 49 0.867 L 50 — — — LYM1035 83264.6 — — — 0.695 0.28 20 — — — LYM1030 83544.3 0.0377 0.22 13 — — — — — — LYM1030 83547.2 0.0430 0.02 29 0.852 L 47 — — — CONT. — 0.0332 — — 0.578 — — 0.654 — — LYM1118 82534.6 0.0443 0.13 30 — — — — — — LYM1114 82487.11 0.0436 0.11 28 — — — — — — LYM1114 82487.7 0.0489 0.03 43 0.720 0.07 46 — — — LYM1113 81872.4 0.0498 0.01 46 0.731 0.04 48 0.721 0.03 31 LYM1106 82627.2 0.0538 0.02 58 0.724 0.06 47 — — — LYM1106 82627.3 — — — 0.620 0.24 26 — — — LYM1078 82657.6 0.0434 0.14 27 — — — — — — LYM1078 82657.9 0.0521 0.01 53 0.854 L 73 0.656 0.23 20 LYM1078 82659.2 0.0558 L 64 0.830 L 68 0.664 0.13 21 LYM1078 82659.5 0.0427 0.20 25 — — — — — — LYM1075 83047.2 0.0474 0.03 39 0.663 0.12 34 0.637 0.26 16 LYM1075 83047.8 0.0427 0.19 25 — — — — — — LYM1075 83049.1 0.0495 0.03 45 0.770 0.03 56 0.664 0.15 21 LYM1075 83049.3 0.0521 0.02 53 0.780 0.03 58 — — — LYM1074 82572.2 0.0444 0.08 30 — — — — — — LYM1033 82883.6 0.0449 0.08 32 0.787 0.01 60 0.639 0.24 16 LYM1033 82885.5 0.0406 0.26 19 0.683 0.09 39 — — — LYM1027 82520.3 0.0580 L 70 0.789 0.02 60 — — — LYM1027 82520.6 0.0463 0.08 36 — — — — — — LYM1024 82475.5 0.0423 0.18 24 — — — — — — LYM1023 82516.1 0.0533 0.01 57 0.718 0.12 46 — — — LYM1023 82518.10 0.0433 0.14 27 — — — — — — CONT. — 0.0341 — — 0.493 — — 0.549 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

Results from T1 plants

Tables 119-121 summarize the observed phenotypes of transgenic plants expressing the gene constructs using the TC -T1 Assays.

The genes presented in Tables 119-121 showed a significant improvement in plant biomass and root development since they produced a higher biomass (dry and fresh weight, Table 119), a larger leaf and root biomass (leaf area, root length and root coverage) (Table 120), and a higher relative growth rate of leaf area, root coverage and root length (Table 121) when grown under normal growth conditions, compared to control plants grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil. Plants producing larger leaf biomass has better ability to produce assimilates). The genes were cloned under the regulation of a constitutive promoter (At6669; SEQ ID NO: 8190). The evaluation of each gene was performed by testing the performance of different number of events. Some of the genes were evaluated in more than one tissue culture assay. This second experiment confirmed the significant increment in leaf and root performance. Event with p-value <0.1 was considered statistically significant.

TABLE 119 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Dry Weight [mg] Fresh Weight [mg] Gene Name Ave. P-Val. % Incr. Ave. P-Val. % Incr. LYM1164_H1 9.15 0.25 44 — — — LYM1018 8.00 L 26 234.9 0.29 41 CONT. 6.33 — — 167.0 — — LYM1052 10.0 0.14 13 210.8 0.27 27 CONT. 8.84 — — 165.4 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

TABLE 120 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter Leaf Area [cm2] Roots Coverage [cm²] Roots Length [cm] P- % P- % P- % Gene Name Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1164_H1 0.870 0.12 31 9.35 0.02 48 7.64 0.19 18 LYM1018 0.772 0.05 17 — — — — — — CONT. 0.661 — — 6.33 — — 6.45 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

TABLE 121 Genes showing improved plant performance at Normal growth conditions under regulation of At6669 promoter RGR Of RGR Of Roots RGR Of Leaf Area Coverage Root Length P- % P- % P- % Gene Name Ave. Val. Incr. Ave. Val. Incr. Ave. Val. Incr. LYM1164_H1 0.0829 0.03 38 1.12 L 49 0.807 0.08 22 LYM1018 0.0708 0.26 18 — — — — — — CONT. 0.0603 — — 0.754 — — 0.662 — — “CONT.”-Control; “Ave.”-Average “% Incr.” = % increment; “p-val.”-p-value, L-p < 0.01.

These results demonstrate that the polynucleotides of the invention are capable of improving yield and additional valuable important agricultural traits such as increase of biomass, abiotic stress tolerance, nitrogen use efficiency, yield, vigor, fiber yield and/or quality. Thus, transformed plants showing improved fresh and dry weight demonstrate the gene capacity to improve biomass a key trait of crops for forage and plant productivity; transformed plants showing improvement of seed yield demonstrate the genes capacity to improve plant productivity; transformed plants showing improvement of plot coverage and rosette diameter demonstrate the genes capacity to improve plant drought resistance as they reduce the loss of soil water by simple evaporation and reduce the competition with weeds; hence reduce the need to use herbicides to control weeds. Transformed plants showing improvement of relative growth rate of various organs (leaf and root) demonstrate the gene capacity to promote plant growth and hence shortening the needed growth period and/or alternatively improving the utilization of available nutrients and water leading to increase of land productivity; Transformed plants showing improvement of organ number as demonstrated by the leaf number parameter exhibit a potential to improve biomass yield important for forage crops and improve the plant productivity; Transformed plants showing increased root length and coverage demonstrate the gene capacity to improve drought resistance and better utilization of fertilizers as the roots can reach larger soil volume; Transformed plants showing improvement of leaf petiole relative area and leaf blade area demonstrate the genes capacity to cope with limited light intensities results from increasing the plant population densities and hence improve land productivity.

Example 22 Evaluation of Transgenic Brachypodium NUE and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 3: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until heading—This assay follows the plant biomass formation and growth (measured by height) of plants which were grown in the greenhouse at limiting and non-limiting (e.g., normal) nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T₁ transgenic seedlings were then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until heading. Plant biomass (the above ground tissue) was weighted right after harvesting the shoots (plant fresh weight [FW]). Following, plants were dried in an oven at 70° C. for 48 hours and weighed (plant dry weight [DW]).

Each construct was validated at its T₁ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall size, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all, were used as control (FIG. 9B).

The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry shoot weight—In Heading assays when heading stage has completed (about day 30 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight on semi-analytical scales (0.01 gr) (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Time to Heading—In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.

Plant Height—In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.

Example 23 Evaluation of Transgenic Brachypodium NUE and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay

Assay 4: Nitrogen Use efficiency measured plant biomass and yield at limited and optimal nitrogen concentration under greenhouse conditions until Seed Maturation—This assay follows the plant biomass and yield production of plants that were grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T₁ transgenic seedlings were then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH₄NO₃, supplemented with 1 mM KH₂PO₄, 1 mM MgSO₄, 3.6 mM KCl, 2 mM CaCl₂ and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH₄NO₃ with 1 mM KH₂PO₄, 1 mM MgSO₄, 2 mM CaCl₂, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until seed maturation. Each construct was validated at its T₁ generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).

The plants were analyzed for their overall biomass, fresh weight and dry matter, as well as a large number of yield and yield components related parameters. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all (FIG. 9B). The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.

Phenotyping

Plant Fresh and Dry vegetative weight—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).

Spikelets Dry weight (SDW)—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the spikelets were separated from the biomass, left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine spikelets dry weight (SDW).

Grain Yield per Plant—In Seed Maturation assays after drying of spikelets for SDW, spikelets were run through production machine, then through cleaning machine, until seeds were produced per plot, then weighed and Grain Yield per Plant was calculated.

Grain Number—In Seed Maturation assays after seeds per plot were produced and cleaned, the seeds were run through a counting machine and counted.

1000 Seed Weight—In Seed Maturation assays after seed production, a fraction was taken from each sample (seeds per plot; ˜0.5 gr), counted and photographed. 1000 seed weight was calculated.

Harvest Index—In Seed Maturation assays after seed production, harvest index was calculated by dividing grain yield and vegetative dry weight.

Time to Heading—In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.

Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.

Grain filling period—In Seed Maturation assays maturation was defined by the first color-break of spikelet+stem on the plant, from green to yellow/brown.

Plant Height—In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.

Tillers number—In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.

Number of reproductive heads per plant—In Heading assays manual count of heads per plant was performed.

Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).

Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.

All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting. 

1. A method of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% identical to SEQ ID NO: 523, 474-522, 524-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, thereby increasing the yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of the plant.
 2. A method of claim 1, wherein said polypeptide is selected from the group consisting of SEQ ID NOs: 523, 474-522, 524-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and
 8164. 3. A method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 523, 474-522, 524-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 and 8164, wherein the crop plant is derived from plants which have been transformed with said exogenous polynucleotide and which have been selected for increased yield, increased harvest index, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased yield, increased harvest index, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, increased nitrogen use efficiency, and/or increased abiotic stress tolerance, thereby producing the crop.
 4. The method of claim 1, wherein said nucleic acid sequence encoding said polypeptide is at least 80% identical to SEQ ID NO: 313, 50, 1-49, 51-170, 172-267, 269-312, 314-424, 426-473, 761-2486, 2489-2494, 2496-4803 or
 4804. 5. A method of claim 1 wherein said nucleic acid sequence is selected from the group consisting of SEQ ID NOs:313, 50, 1-49, 51-312, 314-473, 761-4804 and
 4805. 6. (canceled)
 7. A nucleic acid construct comprising an isolated polynucleotide which comprises a nucleic acid sequence encoding a polypeptide at least 80% homologous to the amino acid sequence set forth in SEQ ID NO: 523, 474-522, 524-643, 645-679, 681-755, 757-760, 4806-6390, 6395-6396, 6401-6895, 6897-7249, 7251-7685, 7687-7693, 7695-7700, 7702-7708, 7710-7796, 7798-7816, 7818, 7820-7837, 7839-7840, 7842-7861, 7863-8134, 8136-8163 or 8164, and a heterologous promoter for directing transcription of said, nucleic acid sequence in a host cell, wherein said amino acid sequence is capable of increasing yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance of a plant.
 8. The nucleic acid construct of claim 7, wherein said polypeptide is selected from the group consisting of SEQ ID NOs: 523, 474-522, 524-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and
 8164. 9. (canceled)
 10. The nucleic acid construct of claim 7, wherein said nucleic acid sequence is selected from the group consisting of SEQ ID NOs: 313, 50, 1-49, 51-312, 314-473, 761-4804 and
 4805. 11-13. (canceled)
 14. A plant cell transformed with the nucleic acid construct of claim
 7. 15. (canceled)
 16. The method of claim 3, wherein said nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 523, 474-522, 524-643, 645-760, 4806-6390, 6394-6398, 6400-7249, 7251-8134, 8136-8163 and
 8164. 17-19. (canceled)
 20. The plant cell of claim 14 or 15, wherein said plant cell forms part of a plant.
 21. The method of claim 1, further comprising growing the plant expressing said exogenous polynucleotide under the abiotic stress.
 22. The method of claim 1, wherein said abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.
 23. (canceled)
 24. A transgenic plant comprising the nucleic acid construct of claim
 7. 25. The method of claim 1, further comprising growing the plant expressing said exogenous polynucleotide under nitrogen-limiting conditions.
 26. (canceled)
 27. A method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the nucleic acid construct of claim 7, wherein the plant is derived from plants which have been transformed with said exogenous polynucleotide and which have been selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield, increased harvest index, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and increased oil content as compared to a non-transformed plant, thereby growing the crop. 28-30. (canceled)
 31. The method of claim 1, further comprising selecting a plant having an increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
 32. A method of selecting a transformed plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising: (a) providing plants transformed with the nucleic acid construct of claim 7, (b) selecting from said plants of step (a) a plant having increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, thereby selecting the plant having the increased yield, harvest index, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
 33. (canceled)
 34. The method of claim 31, wherein said selecting is performed under non-stress conditions.
 35. The method of claim 31, wherein said selecting is performed under abiotic stress conditions. 